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At VMware Explore in Las Vegas, the buzz wasn't just about generative AI, but about where and how it should run. My guest is Tasha Drew, Director of Engineering for the AI team in the VMware Cloud Foundation division at Broadcom, who has been at the center of this conversation. Fresh off the main stage, where she helped debut VMware's new Private AI Services and Intelligent Assist for VMware Cloud Foundation, Tasha joins me to unpack what these announcements mean for enterprises grappling with privacy, cost, and integration challenges. Tasha explains why private AI is resonating so strongly in 2025, outlining the three pillars that define it: protecting sensitive intellectual property, managing regulated or high-value data, and ensuring role-based control of fine-tuned models. She shares how organizations often start their AI journey in the public cloud, but as experimentation turns to production, cost pressures, data compliance, and proximity to data drive them toward private AI. We also dive into VMware's own evolution toward building an AI-native private cloud platform. Tasha highlights the journey from deep learning VMs and Jupyter notebooks to full AI platform services that empower IT teams to deliver models efficiently, save money, and accelerate deployment of retrieval-augmented generation (RAG) applications. She introduces Intelligent Assist for VMware Cloud Foundation, an AI-powered guide that helps teams navigate complex deployments with context-aware support and step-by-step instructions. Beyond the technology, Tasha reflects on the broader ecosystem shifts, from partnerships with NVIDIA and AMD to the role of Model Context Protocol (MCP) in breaking down integration barriers between enterprise systems. She believes MCP represents a turning point, enabling seamless workflows between platforms that historically lacked incentive to work together. This conversation captures a pivotal moment where private AI is moving from theory into enterprise adoption. For leaders weighing their next move, Tasha provides both the strategic framing and the technical insight to understand why private AI has become one of the most talked-about forces shaping enterprise IT today.
1. Ben Westbeech ft RAHH - Whatever Is Missing In You (Aeroplane Motion Mix) - Glitterbox Recordings2. Choices - Less Is More (Original Mix) - Music To Dance To Records3. Jerk Boy & Birdee - Rock The Beats (Extended Mix) - Motive Records4. Jonas Blue & Malive - Edge Of Desire (Extended Mix) - Defected Records5. Elektrik Disko - I Like To Disco (Extended) - Glammarama Records6. Dave Lee ft Shawn Christopher & Black Widow - People Of All Nationz (Extended) - Glitterbox Recordings7. Girls of the Internet featuring Anelisa Lamola - Affirmations (Dennis Ferrer Extended Remix) - Defected Records8. Rag 'n' Bone Man, Max Chapman, Mischief - Whisper - Defected Records9. Random Soul - Mesmerizing (Extended Club VIP Mix) - Random Soul Recordings10. Dr Packer & Yogi - Heavy Vibes (Yogi Extended Mix) - Tinted Records11. Richard Earnshaw, Ridney & Jovonn - House Is The Message (Extended Mix) - Soulfuric Deep12. Harry Romero, Jose Nunez, Alex Alicea & Shawnee Taylor - I Wanna Thank You (Extended Mix) - Glitterbox Recordings13. Chris Lake - Satisfy Me (Extended) - Black Book Records14. Eliza Rose featuring The Trip - Weekend (Extended Mix) - Defected Records15. Paul Harris - Words - Toolroom Records16. Purple Disco Machine feat. Retrosonix - Ghost Town (Extended Mix) - Sweat It Out
While many people talk about “agents,” Shreya Shankar (UC Berkeley) has been building the systems that make them reliable. In this episode, she shares how AI agents and LLM judges can be used to process millions of documents accurately and cheaply. Drawing from work on projects ranging from databases of police misconduct reports to large-scale customer transcripts, Shreya explains the frameworks, error analysis, and guardrails needed to turn flaky LLM outputs into trustworthy pipelines. We talk through: - Treating LLM workflows as ETL pipelines for unstructured text - Error analysis: why you need humans reviewing the first 50–100 traces - Guardrails like retries, validators, and “gleaning” - How LLM judges work — rubrics, pairwise comparisons, and cost trade-offs - Cheap vs. expensive models: when to swap for savings - Where agents fit in (and where they don't) If you've ever wondered how to move beyond unreliable demos, this episode shows how to scale LLMs to millions of documents — without breaking the bank. LINKS Shreya's website (https://www.sh-reya.com/) DocETL, A system for LLM-powered data processing (https://www.docetl.org/) Upcoming Events on Luma (https://lu.ma/calendar/cal-8ImWFDQ3IEIxNWk) Watch the podcast video on YouTube (https://youtu.be/3r_Hsjy85nk) Shreya's AI evals course, which she teaches with Hamel "Evals" Husain (https://maven.com/parlance-labs/evals?promoCode=GOHUGORGOHOME)
This week on The RAG Podcast, we are revisiting Episode 1 from Season 7 with Kevin Frater, Director at Stable10 and a recruitment leader with over 18 years of experience across Allegis and Frank Group.Kevin built his reputation as a fixer, turning underperforming offices into high-performing teams. Most notably, he grew a team in Germany from 12 to 180 recruiters over six years, creating one of the most successful divisions within Frank Group globally.We talk about:The playbook for turning around underperforming recruitment teamsScaling internationally across London, Singapore and GermanyWhat it really takes to grow and manage high-performing sales culturesHow to balance leadership, travel and personal life at scaleWhy Kevin chose to take a break before his next chapterWhether you're a manager looking to build and lead bigger teams or a recruitment business searching for a leader to drive growth, this episode is packed with insight.Chapters03:02 Kevin Frater's Journey in Recruitment08:25 Transition from Allegious Group to Frank Group14:32 Leadership and Team Growth Strategies20:10 Turning Around Underperforming Teams31:50 International Experience: Asia and Germany40:37 Challenges and Successes in the German Market48:32 Scaling the Team from 12 to 18055:35 Reflections on Career and Future Opportunities__________________________________________Episode Sponsor: AtlasYour memory isn't perfect. So Atlas remembers everything for you. Atlas is an end-to-end recruitment platform built for the AI generation. It automates your admin so you can focus on the business tasks that matter. How many conversations do you have every day? With clients. Candidates. Your team. Service providers.Now how many of those conversations can you recall with 100% accuracy? How many hours a week do you spend making notes to try and retain as much as possible? And how much is still getting lost along the way? Traditional CRM systems weren't built for the type of recruitment business you're running right now. They were built to rely on the structured, tagged, categorised, and formal data you could feed it. Manual processes that needed you to input specific information, based on specific questions and answers. But what about all the other conversations you're having every single day? Atlas isn't an ATS or a CRM. It's an Intelligent Business Platform that helps you perform 10X better than you could on your own. How? By removing all your low value tasks, acting as your perfect memory, and providing highly relevant recommendations to impact your performance. Learn more about the power of Atlas – and take advantage of the exclusive offer for The RAG listeners – by visiting https://recruitwithatlas.com/therag/ __________________________________________Episode Sponsor: HoxoRecruitment agency founders - this one's for you.What's your plan for the rest of 2025?If it's based on more cold outreach, referrals, or hiring more recruiters… we've got news for you. That's not where the smart money is going.The market has changed. AI is everywhere. Noise is louder than ever.So if you want to scale profitably this year, you need to do things differently!It starts with what you already have.Your experience. Your network. Your voice.And we are showing you exactly how to use it in a brand-new, FREE Masterclass - built specifically for recruitment leaders like you.You're going to learn:Why your LinkedIn content isn't working - and how to fix it...
The Love to be...Global Connection Show 259 Trimtone are joined by Mark Picchiotti for 2 hours of the very best house music from around the globe. Part 1 – Trimtone Riva Starr, Bassolino - Jinga Pt.2 [Snatch! Records] Jazz-N-Groove, Northbound, Mone' - A Better Way (Odyssey Inc, Remix) [Bassline Records] Fioretti - Philly (Original Mix) [8bit] Tommy Vee, Mauro Ferrucci, Keller - Tree, Air And Rain On The Earth [Airplane] Jay Bird - True Love [Disco House] Flores - No Turn Back [Groovy Riddim] Miami Dub Machine 'Magic' [Cube] Piem & Cassimm 'Don't Let Me Go' (Main Mix) [Jackies Music Records] Parts 2&3 – Mark Picchiotti 1. Mark Picchiotti, Candice Chavez -I Feel For You [Blueplate] 2. Harry Romero, Jose Nunez, Alex Alicea & Shawnee Taylor -I Wanna Thank You [Glitterbox] 3. Dave Lee Ft Shawn Christopher & Black Widow - People Of All Nationz [Z Records] 4. Rag 'N' Bone Man, Max Chapman, Mischief - Whisper [Defected] 5. Dj Meme & The Checkup - My Choice (Kristin Velvet Remix) [Heat Trax] 6. Robin S & Thefreezproject - Don't Let Go (Dj Emmaculate Synthesized House Mix) [Quantize] 7. David Penn & Jewel Kid - You Can Do It [Nervous] 8. Sugarstarr - Hey Sunshine (Alexa Perl Club Mix)[Sugarstarr Trax] 9. Pithman - One Day [What A Need] 10. Ferreck Dawn & Haley May - Deep Inside [Defected] 11. Seductive Souls Feat. Onita Boone - Ain't Nobody (Angelo Ferreri Extended Remix) [Peppermint Jam] 12. Amy Lauren & Jaxx Inc. - Chord Control [Basement Sound] Part 4 – Trimtone Paul Adam - In My Soul [Great Stuff Recordings] Hot Since 82, Kuuda - Alive (Avision Remix) [Knee Deep In Sound] Sqwad - Def With The Record (Trimtone Edit) [The Myth Of Nyx] Low Steppa X Rue Jay X Reza - I Am The Creator [Demo] Matroda - Feel The Heat [Terminal Underground] Ramon Bedoya, Ernesto Carrera (Ve) - Quantum [Rawthentic] Ammo Avenue, Manu Gonzalez (Feat. Rosie Peppe) - Lost In Space [Nem] Chapter & Verse - Cookin (Feat. Nevve) [The Myth Of Nyx] Honeyluv & Aluna - Waymo [Insomniac Records] Tom Sawyer - Faraon [Pets Recordings] This show is syndicated & distributed exclusively by Syndicast. If you are a radio station interested in airing the show or would like to distribute your podcast / radio show please register here: https://syndicast.co.uk/distribution/registration
Entre ! Geek est un podcast de la galaxie savoureuse Galaxie Pop, rejoignez nous sur discord https://discord.gg/9VbAgcT2TwVous pouvez retrouver toutes nos productions à cette adresse https://linktr.ee/galaxiepop !Envie de nous laisser un petit mot audio sur cette épisode : vous pouvez le faire à cette adresse ou directement pour le démontage de rotule sur le propre répondeur d'Entre ! Geek Attention : un téléphone a fait des siennes pendant l'enregistrement, un psoriasis démangeant aussi... les deux appartiennent à CausmicBeast Le géant, il hante nos cauchemars, nos mythes, nos soldes (des soldes géaaaaaannnnnntes qu'on vous dit), notre pop culture et aujourd'hui un podcast et une volonté, parler des femmes géantes, surtout de 50 pieds de haut.Shaokun nous rejoint pour son premier Entre ! Geek, et probablement pas son dernier (?!) : il est selon sa biographie officielle Technicien en analyse/délivrance de sang humain (bon sang mais c'est bien sûr], passionné des cultures de l'imaginaire, frère de@lagardedenuit.bsky.social, et enfin podcasteur (La Garde et Vous : , Bac à Sons : )Attention ce podcast est probablement enrichi en Tartuffel© , si vous n'aimez pas ça, n'en dégoûtez pas les autres La femme de 50 pieds de haut donc. Une Icone de la culture pop. Copiée, parodiée, “remakée” mais toujours culte. Au programme 3 films : 3 époques, des a cotés, des digressions pour un format king size, voire queen size (pour les plaintes sur la taille voyez les répondeurs cités en tête de cette description Tout d'abord :L'attaque de la femme de 50 pieds(1958)Un film réalisé pour 88.000 dollars. Noir et blanc mais aussi un scénario et un propos… sans doute pas le film désuet qu'on pourrait imaginer pour l'époqueLa bande annonce (dans son jus)Nous y parlons entre autre de gaslighting mais aussi des à cotés du casting (ne nous jugez pas de parler de la vie des acteurs lorsque les projecteurs s'éteignent) Petite respiration musicale : Calvin Harris, Rag'n'Bone Man - Giant L'attaque de la femme de 50 pieds (1993) Un téléfilm pur HBO, où la productrice/actrice Darry Hannah joue une héroïne plus moderne, les vagues de féminisme sont passés par là. Décalque plan par plan ou hommage à son auguste ? Le propos reste là sous des dehors de comédie.Une bande annonce (qui ne reflète pas du tout le film !)Et comme pour le précédent, des digressions et des anecdotes Petite respiration musicale : Joe Satriani Super colossal Attack of the 50 Foot Cheerleader (2012)En 2012 on aurait du avoir la fin du monde, à la place on a eu cette pochade L'attaque de la pom-pom girl géante (sous son titre original : Attack of the 50 Foot Cheerleader)Avec une bande annonce pleine de YodelRien de bon, rien de frais mais bon au moins on a pu parler des musclés et de la fête au villageCela nous permet aussi de parler de la série oubliée (mais pas oubliable ?) de Sea Quest DSV et de Ted Raimi mais aussi et surtout de Treat Williams et d'un Cri dans l'Océan (1998) Une nouvelle pause musicale : Neon Genesis Evangelion - OpeningEt le manga dans tout ça ?Shaokun nous propose du lourd… Gigant) en 10 volumes chez KIOONNous parlons aussi de mégalophilie notamment les travaux de Monokubo et de mégalophobie c'est cadeau ! La postérité : Monsters vs Aliens mais à ne voir si possible qu'en VO (mais ce n'est que l'avis de CausmicBeast hein) A venir : un remake de la Femme de 50 pieds en 2026 par Tim Burton et avec Margot Robbie en héroine principale… L'un.e sera t'iel.le l'antidote de l'autre ???? (mais vous pouvez toujours aller voir Barbie avec Margot Robbie )L'homme qui rétrécit avec Jean Dujardin par Jan Kounen Musique de fin surprise : Deadly Avenger : Kill All Kaijus
Sztuczna inteligencja zaskakuje błyskotliwymi odpowiedziami, ale czasem również... bezczelnym zmyślaniem. Dlaczego modele językowe potrafią z pełnym przekonaniem generować nieprawdziwe informacje? Co sprawia, że brzmią wiarygodnie, mimo że wcale takie nie są?Jarosław Kuźniar przygląda się zjawisku halucynacji AI – błędów, które nie są skutkiem awarii, ale naturalnym efektem działania algorytmów. W tym odcinku Technologicznie poznasz kulisy pracy z modelami językowymi, które mogą być genialnymi asystentami, ale też niebezpiecznymi źródłami dezinformacji.Dlaczego warto wiedzieć, kiedy AI zmyśla? Co robią badacze, by ograniczyć ten problem? I dlaczego ostateczna odpowiedzialność za prawdę nadal spoczywa na człowieku?Z tego odcinka dowiesz się:- Czym są halucynacje AI i dlaczego się pojawiają?- Jakie cztery główne przyczyny odpowiadają za zmyślenia modeli językowych?- Dlaczego sztuczna inteligencja brzmi pewnie, nawet gdy mija się z prawdą?- Jakie są metody ograniczania halucynacji, takie jak RAG i RLHF?- Dlaczego to człowiek nadal musi weryfikować prawdziwość informacji generowanych przez AI?Masz pytanie do ekspertów? Możesz je zadać tutaj: https://tally.so/r/npJBAVW aplikacji Voice House Club m.in.:✔️ Wszystkie formaty w jednym miejscu.✔️ Możesz przeczytać lub posłuchać.✔️ Transkrypcje odcinków serii In Brief z dodatkowymi materiałami wideo.Słuchaj w Voice House Club: https://bit.ly/Dolacz_do_VHC
124bpm - 127bpm HUNTR-X – Golden David Guetta – If you really love me Nicky Romero – Why do I call Rita Ora – Ask & you shall receive Sabrina Carpenter – Manchild Calvin Harris – By your side Becky Hill – Better off without you David Guetta, Becky Hill & Ella Henderson – Crazy what love can do Silk City, Ellie Goulding – New love Oliver Heldens – Break this habit Sigala Fe. John Newman & Nile Rodgers – Give me your love Tove Lo, SG Lewis – Heat Mistajam – Monday kind of Tuesday Dannii Minogue – You won't forget about me Waze & Odyssey – Bump & grind 2014 Nightcrawlers – Friday Jax Jones, Raye – You don't know me Dua Lipa – Don't start now Alex Gaudino, Dopamine, MazZz – Saturday Ed Sheeran – Shivers Shane Codd – Always on my mind Avicii – Wake me up David Guetta Fe. Sam Martin – Lovers on the sun Sigala, David Guetta, Sam Ryder – Living without you Alesso, Nico & Vinz – I wanna know Alesso, OneRepublic – If I lose myself Nicky Romero – Okay Pitbull Fe. J Lo & Claudia Leitte – We are one (Ole Ole) Empire Of The Sun – Celebrate Galantis – No money Switch Disco – React Joel Corry – Out out Offaiah – Trouble HUNTR-X – What it sounds like IVE, Saweetie – All night Galantis – Love on me Myles Smith – Stargazing Galantis Fe. Dolan – Never felt a love like this Conor Maynard – Turn around Coldplay & BTS – My universe Sebastian Ingrosso & Alesso – Calling (Lose my mind) James Hype – Ferrari Oliver Heldens, Karen Harding – Oops Pink, Cash Cash – Can we pretend Armin van Buuren, Philip Strand – Roll the dice Calvin Harris Fe. Rag''n'Bone – Giants Lewis Capaldi – Forget me Swedish House Mafia – Center of the universe Tim Berg- Seek romance Avicii – Levels
Réécoutez le FG Chic Mix Discopia by Mark Picchiotti du samedi 23 août 2025 Tracklisting 1. Mark Picchiotti, Candice Chavez “I Feel For You” (The Extended Disco Mix)2. Harry Romero, Jose Nunez, Alex Alicea & Shawnee Taylor "I Wanna Thank You" (Extended Mix)3. Dave Lee ft Shawn Christopher & Black Widow "People Of All Nationz" (Extended)4. Rag 'n' Bone Man, Max Chapman, Mischief "Whisper"5. DJ Meme & The Checkup "My Choice" (Kristin Velvet Remix)6. Robin S & TheFREEZproject "2 Don't Let Go" (DJ Emmaculate Synthesized House Mix)7. David Penn & Jewel Kid "You Can Do It" (Original Mix)8. SUGARSTARR "Hey Sunshine" (Alexa Perl Club Mix)9. Pithman "One Day" (Extended Mix)10. Ferreck Dawn & Haley May "Deep Inside" (Extended Mix)11. Seductive Souls feat. Onita Boone "Ain't Nobody" (Angelo Ferreri Extended Remix)12. Amy Lauren & Jaxx Inc. "Chord Control" (Extended Mix)13. Qubiko "Moving On" (Extended Mix)
01. Ive, David Guetta - Supernova Love (Record Mix) 02. Anna Naklab, Younotus, Alle Farben - Supergirl (Record Mix) 03. Bob Sinclar - Cruel Summer (Record Mix) 04. Pierse, Blair - Bitter Sweet Symphony (Record Mix) 05. John Summit - La Danza (Record Mix) 06. One-T, Ywy, Nika - The Way To Love (Record Mix) 07. Lucas & Steve, Lawrent, Jordan Shaw - End Of Time (Record Mix) 08. Killteq, D.Hash, Vallhee - I Like It (Record Mix) 09. Zerb, Ty Dolla $Ign, Wiz Khalifa - Location (Record Mix) 10. Joel Corry, Pickle, Vula - Stay Together (Baby Baby) (Record Mix) 11. Alok, Daecolm, Malou - Unforgettable (Record Mix) 12. Aaron Smith, Luvli, Krono - Dancin' (Record Mix) 13. Maruv, Boosin - Drunk Groove (Record Mix) 14. Anyma, Ellie Goulding - Hypnotized (Record Mix) 15. Joezi, Lizwi - Amathole (Record Mix) 16. Benson Boone, Dj Dark - Beautiful Things (Record Mix) 17. Basto! - I Rave You (Record Mix) 18. Hugel, Alleh, Yorghaki - una noche con hugel (Record Mix) 19. Robin Schulz, James Blunt - OK (Record Mix) 20. Empire Of The Sun, Tony Romera - Walking on a dream (Record Mix) 21. Thomas Gold - Pump Up The Jam (Record Mix) 22. Otnicka, Kaskeiyp - For an Angel (Record Mix) 23. Faul & Wad, Nico & Vinz, Altego, Old Jim - How I Feel (Am I Wrong) (Record Mix) 24. Fedde Le Grand - Rude Boy (Record Mix) 25. Teriyaki Boyz, Hayat - Tokyo Drift (Record Mix) 26. Felix, Charlotte Haining, Switch Disco - I Found You (Record Mix) 27. Felix Jaehn, Shouse - Walk With Me (Record Mix) 28. C-Bool - Never Go Away (Record Mix) 29. Eastblock Bitches, Ostblockschlampen - Sunglasses at Night (Record Mix) 30. Adam Lambert - Ghost Town (Record Mix) 31. Alesso, Calvin Harris - Under Control (Record Mix) 32. Alesso, Calvin Harris - Under Control (Record Mix) 33. Misha Miller, Alexvelea, Bodega - Bam Bam (Record Mix) 34. Faros - Say It Right (Record Mix) 35. Argy, Omiki - WIND (Record Mix) 36. Alfa, Manu Chao, Pas - A Me Mi Piace (Record Mix) 37. Topcover - First Day (Record Mix) 38. Rompasso, Bedanokov - In the Dark (Record Mix) 39. Imany, Ivan Spell, Daniel Magre - You Will Never Know (Record Mix) 40. David Guetta, Ne-Yo, Akon - Play Hard (Record Mix) 41. Cat Dealers, Lothief, Santti - Sunshine (Record Mix) 42. Zerb, Sofiya Nzau - Mwaki (Record Mix) 43. Hurts, Purple Disco Machine - Wonderful Life '25 (Record Mix) 44. Armand Van Helden, Salvatore Mancuso - my my my (Record Mix) 45. Becky Hill - Outside Of Love (Record Mix) 46. Darude, Glazur, Xm - Sandstorm (Record Mix) 47. Kylie Minogue - Lights Camera Action (Record Mix) 48. Rob Laniado - Vibing 49. Armin Van Buuren, Maia Wright - One More Time (Record Mix) 50. Robin Schulz, Cyril, Sam Martin - World Gone Wild (Record Mix) 51. Gamuel Sori, Lovespeake, Amice - Us (Record Mix) 52. Alex Adair, Don Diablo, Cid - Make Me Feel Better (Record Mix) 53. Hypaton, David Guetta, La Bouche - Be My Lover (Record Mix) 54. Twocolors - Heavy Metal Love (Record Mix) 55. Shouse - Love Tonight (Record Mix) 56. Argy, Omnya - Aria (Record Mix) 57. Richard Grey - At Night (Record Mix) 58. John Martin, Tiesto - Anywhere For You (Record Mix) 59. Oliver Heldens, Ian Asher, Sergio Mendes - Mas Que Nada 60. Lady Gaga - Abracadabra (Record Mix) 61. Sakko, Jibaro - Carnival (Record Mix) 62. Oneil, Kanvise, Smola - Boys (Record Mix) 63. Doechii, Dj Dark - Anxiety (Record Mix) 64. Bassjackers - Wrong Or Right (The Riddle) (Record Mix) 65. Boney M, R3Hab - Sunny (Record Mix) 66. Diplo, Miguel - Don't Forget My Love (Record Mix) 67. Lola Young, Ted Bear - Messy (Record Mix) 68. Tayna, Marshmello, Ukay - Si Ai (Record Mix) 69. Calvin Harris, Benny Blanco - I Found You (Record Mix) 70. Fast Boy, Raf, Amice - Wave (Record Mix) 71. Ian Carey, Michelle Shellers, Manyfew, Joe Stone - Keep On Rising (Record Mix) 72. Faul, Wad, Pnau - Changes (Record Mix) 73. Swanky Tunes, Shapov - Wannabe 74. Alok, Agents Of Time - Fever 75. Avalan Rokston, Alex Caspian - Something to Believe In (Record Mix) 76. Meduza, Becky Hill, Goodboys - Lose Control (Record Mix) 77. Shane Codd - Rather Be Alone (Record Mix) 78. Rue Jay - I Want Your Love 79. Dj Dimixer, Dante, Dmitrii G - Only you (Record Mix) 80. Cedric Gervais, Nile Rodgers - We Are Family (Record Mix) 81. Martin Garrix - Animals! (Record Mix) 82. Martin Garrix - Animals! (Record Mix) 83. Steve Angello - Me 84. Max Oazo - Gimme! Gimme! Gimme! (Record Mix) 85. Galwaro, Lizot, Gabry Ponte - Like a Prayer (Record Mix) 86. Lucas & Steve - Push The Feeling (Record Mix) 87. Dj Kuba, Neitan, Bounce Inc. - Watch Out (Record Mix) 88. Sevdaliza, Yseult, Pabllo Vittar, Tiesto - Alibi (Record Mix) 89. Adam Port, Stryv, Malachii, Switch Disco - Move (Record Mix) 90. Afrosalto, Mednas, Afrojack, Gregor Salto - All Good Things (Come To An End) (Record Mix) 91. Topic, A7S - Breaking Me (Record Mix) 92. Martin Jensen, Fastboy - One Day (Record Mix) 93. Otnicka - Celebrate the Love (Record Mix) 94. Zerb, Sofiya Nzau, Izzy Bizu - Kumbaya (Record Mix) 95. Moby, Blond Ish, Kiko Franco - Natural Blues (Record Mix) 96. Maesic, Marshall Jefferson, Salome Das - Life Is Simple (Record Mix) 97. Matt Sassari, Sidepiece - Elektro (Record Mix) 98. Mark Dann, Giovanni Ricci - Let Me Die (Record Mix) 99. Global Deejays, Jenia Smile, Ser Twister - The Sound Of San Francisco (Record Mix) 100. Don Diablo, R3Hab, Neeka - Disco Marathon 101. Lykke Li, The Magician - I Follow Rivers (Record Mix) 102. Block & Crown, Atilla Cetin - How Many Nations (Record Mix) 103. Lost Frequencies, Janieck Devy - Reality (Record Mix) 104. Kris Kross Amsterdam, Eyelar - Mr. Lie To Me (Record Mix) 105. Calvin Harris, Rag'N'Bone Man - Giant (Record Mix) 106. Gregory Porter, Jonas Blue - Liquid Spirit (Record Mix) 107. Murdbrain, Theajsound, Rachel Morgan Perry - Save Me (Record Mix) 108. Oneil, Kanvise, Sara Phillips, Organ - Wake Me Up (Record Mix) 109. Alexander Popov, Whiteout, Vaileri - Need to Feel Loved (Record Mix) 110. Felix Jaehn, Shouse - Walk With Me (Record Mix) 111. Disclosure - She's Gone, Dance On 112. Avicii - Levels (Record Mix) 113. Vanco, Aya - Ma Tnsani (Yalla Habibi) (Record Mix) 114. Camelphat, Elderbrook - Cola (Record Mix) 115. Oliver Heldens, Weibird - Out of Love (Record Mix) 116. Marshmello, Jonas Brothers, Alex Caspian - Slow Motion (Record Mix) 117. Galantis - Runaway (U & I) (Record Mix) 118. Akcent, Sera, Misha Miller - Don't Leave (Kylie) (Record Mix) 119. David Zowie - House Every Weekend (Record Mix) 120. Morgan Page, Telykast - Dancing All Alone (Record Mix) 121. Playmen, Valeron, Klavdia - Touch Me (Record Mix) 122. Weiss, Harry Romero - Where Do We Go (Record Mix) 123. Kungs - Clap Your Hands (Record Mix) 124. Fisher, Flowdan - Boost Up (Record Mix) 125. Rihanna, Calvin Harris - We Found Love (Record Mix) 126. Zhu - Faded (Record Mix) 127. Alok, Ella Eyre, Kenny Dope, Never Dull - Deep Down (Record Mix) 128. Lilly Wood, Prick, Robin Schulz - Prayer In C (Record Mix) 129. Kygo, Hayla, Joel Corry - Without You 130. Melsen, Dwight Steven - One More Night 131. Filatov & Karas - Time Won't Wait (Record Mix) 132. Roland Clark, Mark Knight, James Hurr - Get Deep 133. Tiesto, Black Eyed Peas - Pump It Louder (Record Mix) 134. Stefy De Cicco, Ben Hamilton, Martin Jensen - Day 'N' Nite (Record Mix) 135. Zerb, Ty Dolla $Ign, Wiz Khalifa - Location (Record Mix) 136. Hugel, Topic, Arash, Daecolm - I Adore You (Record Mix) 137. Dj Dimixer, Favia - One of Us (Record Mix) 138. Marc Korn, Danny Suko, Heart Fx - Every Breath You Take (Record Mix) 139. Dj Feel, Desmind, Natalie Rise - Stereo Love (Record Mix) 140. Klaas - The Way (Record Mix) 141. Mirko Donnini - Thinking of You (Record Mix) 142. Jonas Blue, Jp Cooper - Perfect Strangers (Record Mix) 143. David Guetta, Hypaton, Bonnie Tyler - Together (Record Mix) 144. Tiesto, Soaky Siren - Tantalizing (Record Mix) 145. R3Hab, Inna, Sash! - Rock My Body (Record Mix)
Will more data solve AI hallucinations? Maybe. But what about the industries that have the most to gain (and lose) from AI transformation like healthcare? Join us as we dive deep into the role of data and transformation and what obstacles the healthcare industry still has to clear to turn their digital delusions into data dreams. Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Thoughts on this? Join the convo and connect with other AI leaders on LinkedIn.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:Trillion-Dollar Data Center Investments for AIGenerative AI Transforming Health Tech Use CasesAI and Physician Burnout SolutionsOrganizational Challenges: AI Literacy and EducationData Quality, Cleanliness, and Health Tech OutcomesTransparency and Accountability in Health Data PipelinesImportance of RAG (Retrieval Augmented Generation)AI Hallucinations and Patient Safety RisksOpen Source AI Models and Health Data PrivacyFuture Impacts of Large Language Model InvestmentsTimestamps:00:00 "Tech and Healthcare Evolution Insights"06:50 AI Investment and Data Challenges in Ghana09:48 Ensuring Accurate, Real-Time Data Retrieval13:18 "Building Transparent GenAI Models"15:54 Prior Authorization Ensures Claims Accuracy18:34 Responsible Data Management Challenges22:45 AI Data Accuracy and Consequences25:04 Data Transparency and Accuracy ImperativeKeywords:Generative AI in health tech, artificial intelligence in healthcare, large language models, data center investment, AI hallucinations, data quality, retrieval augmented generation (RAG), physician burnout, AI-powered clinical notes, medical imaging AI, HR workforce optimization, health tech digital transformation, healthcare data privacy, healthcare data security, AI model training, AI education, data literacy, operational efficiency in healthcare, sustainable data centers, environmental impact of data centers, transparency in AI, data trustworthiness, real-time data extraction, cross-checking AI outputs, patient outcomes, healthcare regulations, high-stakes AI industries, open source AI models, AI supply chain management, healthcare claims denial, prior authorization automation, grounding AI models, human-in-the-loop in AI, data accuracy, precision in healthcare AI, medical decision making AISend Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)
Neste episódio do Cabeça de Lab, falamos sobre a chegada do GitHub Copilt ao LuizaLabs. Exploramos o que é a ferramenta, como foi o processo de implementação em larga escala e os desafios de automatizar a governança para milhares de desenvolvedores. Também discutimos os ganhos esperados em produtividade, qualidade de código e segurança, além de refletir sobre o impacto cultural do Copilot no dia a dia das equipes e no futuro do desenvolvimento de software.Se você quer entender como a inteligência artificial está transformando a forma de programar e como ela pode potencializar o trabalho dos devs, este episódio é para você. Dê o play e descubra os bastidores dessa jornada. Se você quer entender melhor como levar sua solução de IA generativa a outro nível, dê o play e descubra como os grafos podem turbinar a sua RAG.Edição completa por Rádiofobia Podcast e Multimídia: https://radiofobia.com.br/---Nos siga no Twitter e no Instagram: @luizalabs @cabecadelabDúvidas, cabeçadas e sugestões, mande e-mail para o cabecadelab@luizalabs.com ou uma DM no InstagramParticipantes: LIVIA FACCHIN | https://www.linkedin.com/in/lívia-facchin-43ab5b12HENRIQUE MITTER | https://www.linkedin.com/in/henriquemitterLUCAS DOURADO | https://www.linkedin.com/in/lucdouraRAISSA XAVIER | https://www.linkedin.com/in/raissaxavierANA CAROLINA FONSECA BARRETO | https://www.linkedin.com/in/anacarolinafonsecabarreto
An airhacks.fm conversation with Antonio Goncalves (@agoncal) about: journey from Java Champion to Principal Software Engineer at Microsoft focusing on AI, the evolution from Java EE standards to modern AI development, writing technical books with LLM assistance, langchain4j as a Java SDK for LLMs providing abstraction over different AI providers, the importance of Java standards and patterns for LLM code generation, Boundary Control Entity (BCE / ECB) pattern recognition by LLMs, quarkus integration with LangChain4J enabling dependency injection and multi-tenancy, MCP (Model Context Protocol) as a new standard potentially replacing some RAG use cases, enterprise AI adoption using Azure AI Foundry and AWS Bedrock, model routers for optimal LLM selection based on prompt complexity, the future of small specialized models versus large general models, tornadovm enabling Java execution on GPUs with 6x performance improvements, GraalVM native compilation for LLM applications, the resurgence of Java EE patterns in the age of AI, using prompts as documentation in READMEs and JavaDocs, the advantage of type-safe languages like Java for LLM understanding, Microsoft's contribution to open source AI projects including LangChain4J, teaching new developers with AI assistance and the importance of curiosity, CERN's particle accelerator and its use of Java, the comparison between old "hallucinating architects" and modern LLM hallucinations, writing books about AI using AI tools for assistance, the structure of the Understanding LangChain4j book covering models RAG tools and MCP, enterprise requirements for data privacy and model training restrictions Antonio Goncalves on twitter: @agoncal
Cette semaine on vous propose en “replay” ce dossier consacré aux LLM transformés en assistant métier.A l'occasion de la conférence AWS reInvent à Las Vegas en décembre dernierSébastien S. a rencontré Grégory Becquembois, AWS Data Expert chez Decision Network.Ensemble, ils nous expliquent comment passer d'un simple modèle d'IA à un véritable assistant métier. Cet hors-série explore le potentiel des LLM avec, dans un premier temps, ce que sont le "continued pre-training" et le "fine-tuning" et le "Retrieval Augmented Generation" (RAG) dans un second temps (00:16:23) Une discussion passionnante sur l'innovation et la créativité à l'ère de l'intelligence artificielle !
Everyone's talking about GenAI, RAG, and agents — but how much of it is solving real enterprise problems? Here at Snowflake Summit 2025, I spoke with Hema Raghavan, Co-Founder, Kumo on The Ravit Show — and this one cut through the noise.We talked about why: • Personalization isn't a “nice-to-have” anymore — it's the only way to cut through information overload • LLMs can't do it all — and where they fall short for enterprise-grade predictive modeling • Many companies are still stuck using 20-year-old ML methods — and what's holding them back • RAG is everywhere, but agents are changing the game — and exposing its limits • The future of enterprise AI lies in structured data — and how ignoring it is costing companies real ROIHema's perspective is technical, clear, and refreshingly honest. This conversation wasn't about trends — it was about what needs to change to make AI truly useful for business.#data #ai #snowflakesummit #kumo #theravitshow
Today's show:In this TWiST 500 double feature, Alex sits down with two breakout founders: Chalk's Marc Freed-Finnegan & Tollbit's Toshit Panigrahi!First, Chalk's CEO Marc Freed-Finnegan is tackling one of AI's biggest bottlenecks—data freshness. Instead of relying on stale batch jobs, Chalk delivers real-time pipelines for inference compute, automatically transpiling Python into C++/Rust so it can run blazing fast in production. Investors are calling it the ‘next Databricks'—and after hearing this convo, you'll see why.Then, Tollbit's CEO Toshit Panigrahi returns after raising a $24M Series A and signing up 1,400+ publishers. With RAG traffic exploding and robots.txt losing its teeth, their ‘bot paywall' could reshape how AI agents pay for the content they consume. Are we heading for a Spotify moment for data licensing?A must-watch if you care about the economics of AI, from data pipelines to publisher monetization.Timestamps:(0:00) Intro + sponsors(1:03) Alex tees up two Twist 500 interviews: Chalk & Tolbert(2:47) Why AI is shifting from training compute to inference compute(4:41) Data freshness & real-time inference explained(10:43) Squarespace - Use offer code TWIST to save 10% off your first purchase of a website or domain at https://www.Squarespace.com/TWIST(12:00) How Chalk transpiles Python into C++/Rust for speed(18:52) Chalk's business model, margins & $500M valuation(20:11) Lemon.io - Get 15% off your first 4 weeks of developer time at https://Lemon.io/twist(21:24) Show Continues…(28:02) Tollbit returns: $24M Series A & the rise of RAG bot traffic(30:37) .TECH: Say it without saying it. Head to get.tech/twist or your favorite registrar to get a clean, sharp .tech domain today.(31:41) Show Continues…(36:53) Robots.txt losing relevance & the case for bot paywalls(39:19)Publishers, AI agents & the future economics of the webSubscribe to the TWiST500 newsletter: https://ticker.thisweekinstartups.comCheck out the TWIST500: https://www.twist500.comSubscribe to This Week in Startups on Apple: https://rb.gy/v19fcpFollow Lon:X: https://x.com/lonsFollow Alex:X: https://x.com/alexLinkedIn: https://www.linkedin.com/in/alexwilhelmFollow Jason:X: https://twitter.com/JasonLinkedIn: https://www.linkedin.com/in/jasoncalacanisThank you to our partners:(10:43) Squarespace - Use offer code TWIST to save 10% off your first purchase of a website or domain at https://www.Squarespace.com/TWIST(20:11) Lemon.io - Get 15% off your first 4 weeks of developer time at https://Lemon.io/twist(30:37) .TECH: Say it without saying it. Head to get.tech/twist or your favorite registrar to get a clean, sharp .tech domain today.Great TWIST interviews: Will Guidara, Eoghan McCabe, Steve Huffman, Brian Chesky, Bob Moesta, Aaron Levie, Sophia Amoruso, Reid Hoffman, Frank Slootman, Billy McFarlandCheck out Jason's suite of newsletters: https://substack.com/@calacanisFollow TWiST:Twitter: https://twitter.com/TWiStartupsYouTube: https://www.youtube.com/thisweekinInstagram: https://www.instagram.com/thisweekinstartupsTikTok: https://www.tiktok.com/@thisweekinstartupsSubstack: https://twistartups.substack.comSubscribe to the Founder University Podcast: https://www.youtube.com/@founderuniversity1916
This week on The RAG Podcast, I'm revisiting my episode with Joe Jani, founder and CEO of Metric Search, one of the fastest growing recruitment firms in the world.Joe launched Metric in 2019 and in just six years has scaled to 90 heads across the US and UK. At only 31 years old, he's already closed a private equity deal, taking seven figures off the table while setting the business on course for a $100m valuation.We talk about:The strategic decisions behind launching and scaling MetricNavigating the COVID pandemic without slowing momentumHow leadership and culture have fuelled rapid growthThe truth about managing and billing at the same timeWhat private equity means for the next stage of growthJoe's story is proof that with the right vision, culture and commercial focus, you can scale globally at pace while still building a business that lasts.Chapters00:00 Introduction to Joe Jarny and Metric Search02:09 Joe's Journey in Recruitment11:52 Launching Metric Search and Navigating COVID22:03 The MBO Process and Growth Strategy35:14 Private Equity Deal and Future Plans49:21 Personal Life and Work-Life Balance01:00:38 Myths in Recruitment and Leadership__________________________________________Episode Sponsor: AtlasYour memory isn't perfect. So Atlas remembers everything for you. Atlas is an end-to-end recruitment platform built for the AI generation. It automates your admin so you can focus on the business tasks that matter. How many conversations do you have every day? With clients. Candidates. Your team. Service providers.Now how many of those conversations can you recall with 100% accuracy? How many hours a week do you spend making notes to try and retain as much as possible? And how much is still getting lost along the way? Traditional CRM systems weren't built for the type of recruitment business you're running right now. They were built to rely on the structured, tagged, categorised, and formal data you could feed it. Manual processes that needed you to input specific information, based on specific questions and answers. But what about all the other conversations you're having every single day? Atlas isn't an ATS or a CRM. It's an Intelligent Business Platform that helps you perform 10X better than you could on your own. How? By removing all your low value tasks, acting as your perfect memory, and providing highly relevant recommendations to impact your performance. Learn more about the power of Atlas – and take advantage of the exclusive offer for The RAG listeners – by visiting https://recruitwithatlas.com/therag/ __________________________________________Episode Sponsor: HoxoRecruitment agency founders - this one's for you.What's your plan for the rest of 2025?If it's based on more cold outreach, referrals, or hiring more recruiters… we've got news for you. That's not where the smart money is going.The market has changed. AI is everywhere. Noise is louder than ever.So if you want to scale profitably this year, you need to do things differently!It starts with what you already have.Your experience. Your network. Your voice.And we are showing you exactly how to use it in a brand-new, FREE Masterclass - built specifically for recruitment leaders like you.You're going to learn:Why your LinkedIn content isn't working - and how to fix it fastHow to generate inbound leads without being “LinkedIn famous”And the exact Hoxo 3X System agencies are using to book more calls - in just a few hours a...
Episode 29 of Shake The Tree, with myself Danny Marx. Broadcasting weekly on Data Transmission radio. Every Wednesday, 11am UK time. Expect the full spectrum of the (mostly vocal) House Music I play & love. This week's show features tracks & remixes from Prunk, Kiddy Smile, Low Steppa, Kim English, Dumitrescu, Estban & more. Hope you enjoy. ⚡️Like the Show? Click the [Repost] ↻ button so more people can hear it!
Wei Hu is the Senior Vice President, High Availability Technologies, at Oracle. In today's Cloud Wars Live, Hu sits down with Bob Evans for a wide-ranging discussion on Oracle's globally distributed database, AI-native workloads, and how Oracle is helping businesses meet data sovereignty requirements while delivering high performance, elasticity, and always-on availability across regions.Where AI Meets Your DataThe Big Themes:Globally Distributed Exadata Database on Exascale: Oracle's Globally Distributed Exadata Database on Exascale Infrastructure delivers something few cloud providers can: high performance, high availability, and full compliance. Built on Oracle's powerful Exadata platform, this architecture removes the traditional need to purchase or manage hardware. Organizations can start small and elastically scale compute and memory across multiple regions.Agentic AI and Vector Search at Enterprise Scale: Oracle's database innovation is designed for real-world AI demands, especially agentic AI. AI agents need massive compute, consistent availability, and extremely fast access to live business data. Oracle's globally distributed architecture supports in-memory vector indexes for lightning-fast retrieval augmented generation (RAG), making AI more responsive and effective. Additionally, Oracle keeps AI close to the data — eliminating stale data issues and ensuring compliance.Built for a Sovereign Cloud World: Data residency and sovereignty are no longer optional, they're legal imperatives. Countries around the world are implementing strict rules on where data must be stored, how it can be accessed, and who can process it. Oracle addresses these challenges with policy-driven data distribution, allowing customers to define how and where data lives. Whether it's for compliance with India's payment data regulations or Europe's GDPR, Oracle enables precise control without requiring app changes or replication of the full stack.The Big Quote: “The other thing that's interesting about agentic AI is that it's very dynamic. The work comes in, the demands comes in, like a tidal wave. Then it goes away, right, then a little, then when it comes again, there's another tidal wave. So, what you really want to do is have an infrastructure that is elastic, that can scale up and down depending on the demand."More from Wei Hu and Oracle:Connect with Wei Hu on LinkedIn and learn more about Globally Distributed Exadata Database on Exascale Infrastructure.* Sponsored Podcast * Visit Cloud Wars for more.
The theme of today's podcast is nourishment.It dawned on me a few minutes into my conversation with Hannah Cohen that when she said proper nourishment was critical to her writing process, she was being literal. It was no metaphor. If Cohen's not hydrated and fed, the creative process becomes much more arduous. She's the first songwriter to ever tell me that. But when Cohen also told me that "the body keeps score," she was now talking nourishment as metaphor. She expressed a view that every writer knows: your writing process is always taking place. It's happening when you're eating, sleeping, working, talking, moving, whatever. Pen hitting paper is only a small part of that process. Cohen tells a great story in this episode of how her new song "Rag" came about. Back to the literal: it started with an actual rag on the side of the road. Cohen's latest album is Earthstar Mountain,
Tracklist: 01. PLS & TY - Take A Chance (Grossomoddo Remix) 02. KVSH & Tim Hox feat. Cumbiafrica - Corocito (Manguelena) 03. Raffa FL & Arianna Triassi - Mi Bomba 04. Martin Ikin & Hayley May - Rush 05. Andrea Lane & Zsak - Por Eso 06. Saul Antolin - Knights of the Jaguar (Groove Edit) 07. Sam Ourt & Tim Lights - Rude Boy 08. Proyecto Uno - El Tiburón (Andrew Storm Edit) 09. Joe Smooth - Promised Land (Mark Knight & James Hype Remix) 10. Chris Lorenzo, Marco Strous & Buraka Som Sistema - BaBaBa (Hangover) *TRACK OF THE WEEK* 11. Illyus Barrientos & Gene Farris - Problems 12. Jocelyn Brown, Luke Alessi, Chloé Caillet & Obskür - The One 13. Rag 'n' Bone Man, Max Chapman & Mischief - Whisper 14. HUGEL, Topic & Arash ft. Daecolm - I Adore You (Robert Georgescu & White Remix) 15. Ferreck Dawn & Hayley May - Deep Inside 16. Phats & Small - Turn Around (Hey What's Wrong With You)
Send us a textIf our visual scoring is still based on gut feeling, how do we scale precision? In this week's DigiPath Digest, I explored four new AI-focused papers that could reshape how we diagnose prostate, bladder, gastroesophageal, and endocrine cancers.From automated IHC scoring to predicting urethral recurrence post-cystectomy, these studies highlight the growing value—and responsibility—of integrating AI into our pathology workflows.And yes, I also reveal where to get my histology-inspired earrings
CFA Institute Research and Policy Center senior investment data scientist Brian Pisaneschi, CFA, breaks down the future of AI in investing—covering retrieval-augmented generation (RAG), agentic workflows, and why human creativity remains your strongest edge. Discover how to pair large language models with accurate data to cut through noise, reduce hallucinations, and make smarter decisions. Listen now to sharpen your AI investing skills—and explore Brian's in-depth articles on the CFA Institute Research and Policy Center website, rpc.cfainstitute.org.
MariaDB is a name with deep roots in the open-source database world, but in 2025 it is showing the energy and ambition of a company on the rise. Taken private in 2022 and backed by K1 Investment Management, MariaDB is doubling down on innovation while positioning itself as a strong alternative to MySQL and Oracle. At a time when many organisations are frustrated with Oracle's pricing and MySQL's cloud-first pivot, MariaDB is finding new opportunities by combining open-source freedom with enterprise-grade reliability. In this conversation, I sit down with Vikas Mathur, Chief Product Officer at MariaDB, to explore how the company is capitalising on these market shifts. Vikas shares the thinking behind MariaDB's renewed focus, explains how the platform delivers similar features to Oracle at up to 80 percent lower total cost of ownership, and details how recent innovations are opening the door to new workloads and use cases. One of the most significant developments is the launch of Vector Search in January 2023. This feature is built directly into InnoDB, eliminating the need for separate vector databases and delivering two to three times the performance of PG Vector. With hardware acceleration on both x86 and IBM Power architectures, and native connectors for leading AI frameworks such as LlamaIndex, LangChain and Spring AI, MariaDB is making it easier for developers to integrate AI capabilities without complex custom work. Vikas explains how MariaDB's pluggable storage engine architecture allows users to match the right engine to the right workload. InnoDB handles balanced transactional workloads, MyRocks is optimised for heavy writes, ColumnStore supports analytical queries, and Moroonga enables text search. With native JSON support and more than forty functions for manipulating semi-structured data, MariaDB can also remove the need for separate document databases. This flexibility underpins the company's vision of one database for infinite possibilities. The discussion also examines how MariaDB manages the balance between its open-source community and enterprise customers. Community adoption provides early feedback on new features and helps drive rapid improvement, while enterprise customers benefit from production support, advanced security, high availability and disaster recovery capabilities such as Galera-based synchronous replication and the MacScale proxy. We look ahead to how MariaDB plans to expand its managed cloud services, including DBaaS and serverless options, and how the company is working on a “RAG in a box” approach to simplify retrieval-augmented generation for DBAs. Vikas also shares his perspective on market trends, from the shift away from embedded AI and traditional machine learning features toward LLM-powered applications, to the growing number of companies moving from NoSQL back to SQL for scalability and long-term maintainability. This is a deep dive into the strategy, technology and market forces shaping MariaDB's next chapter. It will be of interest to database architects, AI engineers, and technology leaders looking for insight into how an open-source veteran is reinventing itself for the AI era while challenging the biggest names in the industry.
Neste episódio do Cabeça de Lab, exploramos como unir RAG (Geração Aumentada por Recuperação) e grafos para superar limitações da busca vetorial tradicional. A conversa aborda desde o conceito e funcionamento de grafos, passando por vantagens e desafios dessa abordagem, até exemplos práticos de aplicação em soluções com IA generativa. Também discutimos como a arquitetura da aplicação influencia o desempenho e como decidir entre uma RAG tradicional e uma RAG com grafos para diferentes cenários.Se você quer entender melhor como levar sua solução de IA generativa a outro nível, dê o play e descubra como os grafos podem turbinar a sua RAG.Edição completa por Rádiofobia Podcast e Multimídia: https://radiofobia.com.br/---Nos siga no Twitter e no Instagram: @luizalabs @cabecadelabDúvidas, cabeçadas e sugestões, mande e-mail para o cabecadelab@luizalabs.com ou uma DM no InstagramParticipantes: MIRIÃ GOLLMANN | www.linkedin.com/in/miriagollmann/JACKSON OSVALDO | https://www.linkedin.com/in/jackson-osvaldo
Have you tried ChatGPT's updated Canvas mode in GPT-5?If you didn't know, most frontier LLMs have a way for you to render and run code in the browser like a virtual computer -- this is what ChatGPT's Canvas mode does. Previously, Google Gemini's Canvas and Anthropic's Artifacts were light-years ahead of ChatGPT's Canvas mode. With GPT-5, though, OpenAI has closed that gap. We'll tell you what's new, how it works, and how to put GPT-5's updated Canvas mode to work for YOU. Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Thoughts on this? Join the convo and connect with other AI leaders on LinkedIn.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:GPT-5 Canvas Mode Overview & FeaturesHow to Activate Canvas Mode in ChatGPTCanvas Mode: Inline Editing CapabilitiesCanvas Mode: Live Code Writing & RenderingBuilding Interactive Web Apps With CanvasUploading & Visualizing Data in Canvas ModeReal-World Canvas Mode Business Use CasesGPT-5 Coding Advancements in CanvasStep-by-Step Live Canvas Mode DemonstrationsTroubleshooting Canvas Mode Errors & LimitsComparing Canvas Mode to Gemini's CanvasFive Business Solutions Using GPT-5 CanvasTimestamps:00:00 "Become AI Expert with GPT5"03:46 "Exploring GPT-5's Canvas Mode"08:14 Exploring GPT-5 Canvas Mode13:48 "Exploring Context Engineering in AI"15:11 Live Test: Uploading Large Files17:47 Hosting Interactive Web Game Easily21:42 Creative Career Advancement Tips26:01 Unexpected Features and Mode Toggles28:47 "Podcast Revenue Calculator Need"33:14 "GPT-5 Canvas Mode Enhancements"34:27 Iterative Conversations with GPT538:24 "Client ROI Calculator Tool"42:34 "GPT-5's Impact on Business Efficiency"44:39 "Spread the Word on AI"Keywords:GPT-5, Canvas Mode, ChatGPT Canvas, GPT-5 Canvas Mode, GPT-5 update, OpenAI, ChatGPT updates, interactive editor, inline editing, code generation, code rendering, business dashboard, interactive web app, vibe coding, non-technical coding, prompt engineering, Context engineering, Retrieval Augmented Generation, RAG, interactive learning game, live coding demo, dashboard builder, data visualization, file upload, CSV analysis, resume website generator, portfolio site with Canvas, client ROI calculator, proposal generator, contract comparison tool, meeting summary builder, budget variance dashboard, enhanced code capabilities, SWE Bench Verified, software engineering benchmarks, syntactic code generation, contextual understanding, model selector, GPT-5 Pro, tSend Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Ready for ROI on GenAI? Go to youreverydayai.com/partner
This week on The RAG Podcast, I'm revisiting my chat with Jordan Shlosberg, founder of Atlas, the first AI-first CRM built for the recruitment market.Jordan's no stranger to scale. Before Atlas, he founded Prosapien, growing it to $40 million in revenue in just five years before exiting. He's now bringing the same disruptive approach to recruitment technology.We talk about:How Atlas uses AI to eliminate low-value admin work for recruitersWhy the recruitment industry is ripe for disruptionLessons from scaling and exiting ProsapienHis vision for building a CRM that recruiters actually want to useHow he's creating a culture where employees share in the company's successJordan's mission is to give recruiters more time to do what they do best, building relationships and making placements, while Atlas handles the admin.If you're questioning whether your CRM is keeping up with AI's potential, this is one to watch.--------------------------------------Chapters00:00 Introduction to The Rag Podcast and Guest Jordan Shlosberg02:51 Jordan's Entrepreneurial Journey and Background05:57 The Birth of Atlas and AI in Recruitment08:51 The Role of Family Background in Entrepreneurial Drive12:03 Transition from Finance to Entrepreneurship15:03 Building ProSapient: The First Company18:06 Growth Strategies and Challenges in ProSapient20:55 Technology's Impact on Business Operations23:52 Navigating Funding and Investment Rounds26:41 The Evolution of Leadership and Management29:47 The Future of Atlas and AI in Recruitment43:54 Navigating a Competitive Recruitment Landscape45:31 Building Software for Recruitment Success48:48 Innovating in Recruitment Technology50:31 The Future of Spec CVs and AI Integration58:30 Streamlining Administrative Tasks with AI01:00:27 Enhancing Data Management and Reporting01:08:37 Customer Support and User Experience01:17:42 Vision for the Future of Atlas__________________________________________Episode Sponsor: AtlasYour memory isn't perfect. So Atlas remembers everything for you. Atlas is an end-to-end recruitment platform built for the AI generation. It automates your admin so you can focus on the business tasks that matter. How many conversations do you have every day? With clients. Candidates. Your team. Service providers.Now how many of those conversations can you recall with 100% accuracy? How many hours a week do you spend making notes to try and retain as much as possible? And how much is still getting lost along the way? Traditional CRM systems weren't built for the type of recruitment business you're running right now. They were built to rely on the structured, tagged, categorised, and formal data you could feed it. Manual processes that needed you to input specific information, based on specific questions and answers. But what about all the other conversations you're having every single day? Atlas isn't an ATS or a CRM. It's an Intelligent Business Platform that helps you perform 10X better than you could on your own. How? By removing all your low value tasks, acting as your perfect memory, and providing highly relevant recommendations to impact your performance. Learn more about the power of Atlas – and take advantage of the exclusive offer for The RAG listeners – by visiting https://recruitwithatlas.com/therag/ __________________________________________Episode Sponsor: HoxoRecruitment agency founders - this one's for you.What's your plan for the rest of 2025?If
Today we're talking with one of our favorite engineers, Rafal Wilinski. Rafal has been on the cutting edge of AI development in the last few years as he has led AI teams at Zapier and Vendr. Rafal walks us through the hard-won lessons about actually integrating AI tools into the applications you're building. One of the hardest things in integrating these AI tools is how to ensure you're getting better and not regressing as you improve your prompts and upgrade your models. He shows how using evals is one part of the story along with deeply investigating customer signals to see how they are or aren't succeeding with AI. Along the way, we also talk about RAG, his favorite models, his AI development toolset, and why Poland has been killing it lately. Check it out and be sure to follow Rafal if you want to learn more on building with AI.
Send us a text❗️Is synthetic data trustworthy enough to train AI for patient care? It just might be—and that's what both excites and terrifies me. ❗️Hey trailblazers! In this episode of the Digital Pathology Podcast, I take you through the second part of our AI in Pathology series—this time, we're focusing on generative AI and how it's revolutionizing diagnostics, education, and workflow in our field.From synthetic H&E slides that could pass for real to multimodal agents that can read your histology images and chat with you about them—yes, really—this is where digital pathology meets the “bleeding edge” of AI development.We'll also look at real use cases, a synthetic biobank you can trust, and the biases, hallucinations, and ethical minefields that come along for the ride.
This Episodes Questions: Brians Questions Hey guys, appreciate you answering several of my questions in the past, so I thought of a few more. Feel free to separate as they are not related: 1: What do you do, if anything, to maintain furniture you have built? What would you tell a client if they were to ask you. I have always heard Murphy's oil is a good restorative, but when I looked at a bottle at the store I discovered it's just mineral oil. I would never recommend that. Or should I? Lemon Pledge Furniture Polish. Joking, but seriously, what is a good answer? Paste wax? Or just wipe the dust off and let it be? Peter Downing I'm building a dresser and have built the carcass out of cherry plywood. I've glued up a panel out of solid cherry that I want to use as the top. I want to attach the solid panel to the top of the carcass. Would you recommend using screws from the inside/underside of the plywood top and allowing for wood movement or is it ok to glue the solid wood top to the plywood carcass top? Eric Guys Questions Domino vs beadlock set up from rockler? Same principle...and , in my experience...same outcome. Thoughts? Crafted Carpentry Tampa When I wanted to learn how to apply shellac, I did a search and found a Youtube video of Guy from the late 70's when Youtube first came out demonstrating his technique involving a balled up rag and a mason jar with a lid to keep it in so it doesn't dry out between coats. That video is fantastic and I learned a lot than just the rag and jar business. Inevitably, when I'm done shellacking for the day, I leave the rag Guy's Jar. Because you never really know when you are done applying shellac to something until you arrive at that destination, I end up leaving that rag in the jar for a few weeks. It's amazing how well it keeps even weeks later. HOWEVER, on more than one occasion, when I pull Guy's Rag from the jar, it is moldy. This surprised me the first time because I assumed that the amount of alcohol in the shellac would prevent anything from growing. Does this happen to y'all or is indicative of something amiss. I just toss it and get a new rag. Additional data points: Shallac is < 2 months old, made from flakes, sourced from Oregon's shellacshack.com I'm using Platina colored shellac usually I'm using "Finishers Edge Shellac Reducer" instead of denatured alcohol because is way more expensive so it must be better right? Jar is a resealable mason jar with a rubber gasket Cloth is from the "bag of t shirts" you can buy at your local woodworking store Shellac still has a strong odor of fresh shellac I reuse the same jar to store my rag Because I'm not a proctologist, there is a chance I've misdiagnosed the mold so I attached an image of the rag. Robert Huys Questions Gents, there is a question here, but I wanted to share some info with you first. In a recent episode there was a bit of a discussion of using Tung oil and how to thin it, etc. I recently made a walnut desk inspired by the Nakashima style. I've had the good fortune to get my eyes and hands on some of his pieces for inspiration - they are amazing. Anyway, on the Nakashima website they discuss the care of their furniture, mentioning how they use Southerland Welles Tung Oil Wiping Varnish. https://sutherlandwelles.com/product-category/wipingvarnish/ It is really easy to apply and looks fantastic, especially on walnut. I used the Sealer and High Lustre Polymerized Tung Oil finishes. I highly recommend them. (this is not a paid ad!) Finally, here is my question: Have you ever taken a technique, tool, or finish that is used in another craft for your use in furniture making? An example might be Tru Oil used on gunstocks as a furniture finish? Or a technique used by luthiers that helped you in furniture making? Thanks again for a great podcast! Regards, David V. Hi guy I have a question or re3ally looking for advice. I noticed the tension on the v-belt of my delat 14 inch band saw was lose. It looked like freely wabblying when spinning the balde and I could come reaelly close to touching the two sides together when pinching the belt. Anyways I found the manuel online and it says there should be 1 inch deflection. asuming the maker knows what they are talking about I never seen a belt with that much allowance after being tight, so what do you think? Also Wen mention how much a pain replacing the tires or wheels were, how do you do that (i know google will answer my questions too, but we like hearing you guys talk)? Last part, are these upgrades really worth it, sometime I buy into something that really is not an improvement (https://www.youtube.com/watch?v=JpDA2X6L9Y4) (https://www.youtube.com/watch?v=4FOa9EJf91g) Paul Miotchell
Welcome to your weekly dose of true HedKandi Anthems! We bring you the ultimate selection of house music, vocal house, nu-disco, funky house, and the occasional chill-out track every week! Follow us on social media: https://www.facebook.com/hedkandi https://www.instagram.com/hedkandi/ Join our community: https://www.facebook.com/groups/hedkandigroup TRACKLIST ⤵ HOUR1 00:00:00 Kako Martinez feat Back To The Essence - Shadows Of Love (Dreamy Love Mix) 00:04:30 Diskobar - Love Me Tonight (Original Mix) 00:09:15 Soultizer, Soneec - You Belong To Me (Original Mix) 00:14:38 Disco Milieu - Disco Whey (Original Mix) 00:18:32 Gershon Jackson - C'Mon & Sing-A-Long (Mike Dunn Blackball MixX) 00:24:23 Les Bisous & Sgt Slick - Reach Out (Extended Mix) 00:28:31 Cerrone, Christine & The Queens - Supernature MMXXV (Purple Disco Machine Remix) 00:35:50 Groove P, Adeva - Hold On Honey (Extended Mix) 00:38:54 PinkPantheress vs Riva Starr - Illegal (Disco Dom Refunk) 00:42:39 Memi P., Lorraine Wilson - On the Radio (Extended Mix) 00:48:22 David Penn, Kurtis Mantronik, KPD - Get Down (Extended Mix) 00:52:30 David Penn - 7 Ways to Love 00:55:48 Harry Romero, Jose Nunez, Alex Alicea, Shawnee Taylor - I Wanna Thank You (Extended Mix) HOUR2 01:00:00 Solomun, Change - Love Recycled 01:06:22 Adam Ten, Jackie (IT) & Kool & The Gang - GET DOWN (Extended Mix) 01:11:28 Dombresky, Chaney, KLP - Running (Extended Mix) 01:14:36 Girls Of The Internet feat. Anelisa Lamola - Affirmations (Dennis Ferrer Extended Remix) 01:20:06 Jamie Jones & Baby Rose - Rolling Thunder (Extended Mix) 01:26:00 Chris Lake, Bonobo, Alexis Roberts - Falling 01:29:50 Nathalie Duchene and Radio Slave - We Are The Youth (Cassimm Extended Remix) 01:34:49 Prunk - Stay (Original Mix) 01:39:28 Rag 'n' Bone Man, Max Chapman & Mischief - Whisper (Extended Mix) 01:44:22 Tensnake - Capitano (Extended Mix) 01:49:59 Jinadu, Wh0, Just Aaron - Feels (Extended Mix) 01:56:38 The Supermen Lovers, OneRepublic - Starlight
It's always a good day if you see a pelican. In Episode 30 of Talking Postgres with Claire Giordano, open source developer Simon Willison—creator of Datasette and co-creator of Django—joins to explore how AI is useful for data engineers today. We move past the hype and boosterism to dig into example after example: structured data extraction, alt text and accessibility, safety and security (aka the fiddly bits), and why Postgres's fine-grained permissions are such a good fit for AI-powered workflows. Also: Pulitzer-worthy data tooling, the science fiction of the 10X engineer, agents, MCP, RAG, the multitude of models, and why Simon spends so many waking hours on the jagged frontier of AI.Links mentioned in this episode:Blog: Simon Willison's WeblogBlog: Simon's Willison's TIL - Things I've LearnedPodcast episode: Working in public on open source with Simon Willison and Marco SlotProject page: Django Web FrameworkProject page: Datasette, for finding stories in data GitHub repo: llm CLI tool and Python libraryDemo: Language models on the command-line w/ Simon WillisonBlog post: OpenAI's new open weight (Apache 2) models are really good, by Simon Willison Podcast episode: Accessibility and Gen AI podcast with guest Simon WillisonBlog post: New dashboard: alt text for all my images, by Simon Willison Keynote talk: Big Opportunities in Small Data, by Simon Willison at Citus Con: An Event for Postgres 2023 Blog post: How OpenElections Uses LLMs, by Derek Willis Blog posts tagged with pelican-riding-a-bicycle on Simon Willison's Weblog Blog post: No, AI is not Making Engineers 10x as Productive, via Colton Voege, featured on Simon's weblogGitHub repo: pgvector extension to PostgresCal invite: LIVE recording of Ep31 of Talking Postgres to happen on Wed Sep 17, 2025
Here's a lil secret: ChatGPT's newly released study mode isn't just for students. Actually.... we think everyday professionals have a lot more to gain from OpenAI's new Study mode. We'll break down how to use it, real use-cases and 3 tips to start making knowledge stick. Don't miss this one. Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Thoughts on this? Join the convo and connect with other AI leaders on LinkedIn.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:ChatGPT Study Mode Overview & GoalsStudy Mode vs. Standard ChatGPT ResponsesCustom Instructions and Prompt Engineering BasicsStep-by-Step Learning with Quiz FeaturesBusiness Use Cases for Study ModePersonalizing Study Mode for Roles & ContextModel Switching: GPT-4o vs GPT-3.5/O3Study Mode Tips: Uploads, Deep Research, ModesRetention and Knowledge Checks Using Study ModeTimestamps:00:00 "Everyday AI: Leveraging ChatGPT"04:40 Study Mode: Engaging Student Learning07:12 Exploring Language Model Features09:49 "RAG vs. Context Engineering (2025)"15:53 Context Engineering Enhances AI Interaction17:30 AI Tools for Overcoming Knowledge Retention19:59 Study Mode Enhances Knowledge Retention24:01 Personalize ChatGPT with Custom Instructions26:35 Interactive Competitor Analysis Guide31:40 ChatGPT's Model Switching Benefits33:02 Maximize Learning with Deep Research37:41 "AI Insights & Interactive Demos"Keywords:ChatGPT Study Mode, ChatGPT learning mode, OpenAI, step-by-step problem solving, learning tools, interactive AI tutor, business application of study mode, non-student use cases, AI brain rot, lifelong learning with AI, retention of information, AI-powered quizzes, context engineering, retrieval augmented generation, RAG, large language models, LLMs, prompt engineering, custom instructions, Socratic method AI, AI in higher education, AI for business professionals, onboarding with AI, personalized AI learning, AI-powered flashcards, deep research in ChatGPT, O3 model, GPT-4, model switching, context window, document uploads in ChatGPT, AI-generated summaries, market analysis with AI, competitor analysis, sales training with AI, interactive study guide, AI knowledge retention, business leader AI tools, personalized AI study plans, educational technology, AI for professional development, AI-assisted learning, new AI features 2024, using AI to boost career, conversational AI learning, AI knowledge quizzesSend Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Ready for ROI on GenAI? Go to youreverydayai.com/partner
Strap on the gloves and join us on the Paddy Wagon Podcast as we sit down with Chris Pickett, a former MMA fighter turned comedian and podcast host. In this episode, we learn "chewing the rag" isn't as disgusting as it sounds. Chris shares his journey from the octagon to the stage, revealing the highs and lows of his his unforgettable 26-second MMA debut... Ok... Mainly lows. We take a dive into the world of MMA, discussing legendary fighters, the evolution of the sport, and touch on our two favorite NFL teams who are NOT headed in the right direction... The Pittsburgh Steelers and the Dallas Cowboys. Mike learns that Chris is a streamer who plays CFB 26 and invites himself onto Chris' channel for a tussle. Whether you're a fight fan, searching for your Puerto Rican father or just love a good story, this episode is packed with humor, ground and pound, and a whole bunch of swear words. Don't miss it! Be sure to check out Chris' podcast, Chewing the Rag wherever you listen to your favorite shows or at Chewintheragpodcast.com Give Chris a follow at @ChewinTheRagPod on both Instagram and Twitter Episode Sponsors: Mometu https://mometu.com/ Looking for your next movie, documentary or TV show to binge? Tired of seeing the same 20 movies recommended over and over? Look no further than Mometu!! Great content isn't reserved for 2 or 3 bigger streaming services we've all used and it doesn't always come in the form of a 100 million dollar budget. Mometu helps you discover often under-served content. Some of the best films you've never heard of are out there waiting to be enjoyed. Don't let the algorithms tell you what's up next. Mometu has over 10,000 hand-curated titles…. All free… All the time! Put an end to those subscription services today. The Mometu app is available for phones, smart TVs and can also be streamed over the web. Intro/Outro Music Provided by: https://uppbeat.io/t/kevin-macleod/achaidh-cheide https://uppbeat.io/t/kevin-macleod/celtic-impulse
House music at its best! Let Dave Baker take you on a journey of discovery and aural pleasure as he brings you the hottest and freshest funky, deep and tech house releases every week. It may be freezing here in Sydney but these tunes definitely bring the heat! In the first hour of this extended mix we have tunes so sweet and delicious, if they were on a spoon you'd be licking it all day! In the second hour we have nothing but pure electric energy with plenty of banging beats and dirty bass while still keeping the uplifting vibe alive. If you love this mix please take a minute out of your day to comment against the episode 276 instagram post here: www.instagram.com/hothousehours/ Share the Soundcloud direct link with friends: https://soundcloud.com/hothousehours/episode276 Tracks released on July 25 unless shown. 1. Whisper (Extended Mix) - Mischief, Max Chapman, Rag'n'Bone Man [Defected]
This week on The RAG Podcast, I'm joined by Stuart Mitchell, the founder of Hampton North, a specialist cybersecurity search firm based in the US.Stuart launched his business, and in just nine months, he had already surpassed the seven-figure mark. There were no cold calls, no marketing spend, just LinkedIn and a consistent commitment to personal branding.We talk about:How he's built a brand that attracts top talent and clientsWhat it was like launching through RecruitHubHis remote first mindset and how that's shaped the teamThe “Magic Inbox” that helped him scale at record speedAnd why authenticity is his biggest competitive edgeEvery one of Stuart's hires so far has approached him directly after following his content. He's building an Avengers-level team of high performers who believe in his approach and are now reaping the rewards of it.If you're running a recruitment business or thinking about starting one, this is the episode to watch.Catch it live on my LinkedIn at 12 pm on Wednesday or listen back afterwards wherever you get your podcasts.Chapters00:00 Introduction to Stuart Mitchell and Hampton North02:53 Stuart's Journey into Recruitment06:08 Building a Personal Brand08:59 Transitioning to Cybersecurity Recruitment11:57 The Launch of Hampton North14:34 The Role of Recruit Hub17:36 The Impact of Personal Branding on Business20:40 Navigating the Recruitment Landscape23:28 Hiring and Building a Team26:46 Work-Life Balance as a New Parent29:40 Advice for Aspiring Recruitment Entrepreneurs__________________________________________Episode Sponsor: AtlasYour memory isn't perfect. So Atlas remembers everything for you. Atlas is an end-to-end recruitment platform built for the AI generation. It automates your admin so you can focus on the business tasks that matter. How many conversations do you have every day? With clients. Candidates. Your team. Service providers.Now how many of those conversations can you recall with 100% accuracy? How many hours a week do you spend making notes to try and retain as much as possible? And how much is still getting lost along the way? Traditional CRM systems weren't built for the type of recruitment business you're running right now. They were built to rely on the structured, tagged, categorised, and formal data you could feed it. Manual processes that needed you to input specific information, based on specific questions and answers. But what about all the other conversations you're having every single day? Atlas isn't an ATS or a CRM. It's an Intelligent Business Platform that helps you perform 10X better than you could on your own. How? By removing all your low value tasks, acting as your perfect memory, and providing highly relevant recommendations to impact your performance. Learn more about the power of Atlas – and take advantage of the exclusive offer for The RAG listeners – by visiting https://recruitwithatlas.com/therag/ __________________________________________Episode Sponsor: HoxoRecruitment agency founders - this one's for you.What's your plan for the rest of 2025?If it's based on more cold outreach, referrals, or hiring more recruiters… we've got news for you. That's not where the smart money is going.The market has changed. AI is everywhere. Noise is louder than ever.So if you want to scale profitably this year, you need to do things differently!It starts with what you already have.Your experience. Your network. Your voice.And we are...
Tracklist: 01. Rag 'n' Bone Man, Max Chapman, Mischief - Whisper 02. Samm (BE) - Body Language 03. Shimza x ARCO x Kasango - Fire Fire 04. The Good Men x Milk & Sugar - Give It Up 05. Switch Disco, Tones And I - HIDEAWAY (Afro Remix) 06. Illyus Barrientos, Gene Farris - Problems 07. Toman - Verano En NY 08. Felipe Allenn x MORENITA - Morenita 09. Francis Mercier, Barbatuques - Baian (Boa Noite) 10. Roger Sanchez & The Gipsy Chico Castillo - El Gitano 11. Muzzaik, Stadiumx - Turbo *TRACK OF THE WEEK* 12. Fedde Le Grand - Liquid Music 13. Mohtiv - Your Touch 14. Raffa FL, Arianna Triassi - Mi Bomba 15. PLS & TY - Take A Chance (Grossomoddo Remix) 16. Lilya Mandre & Dennis Louvra - Paradis 17. MAXI MERAKI - HYPED
In this technical deep dive, Generation AI explores the evolution from prompt engineering to context engineering - a critical shift in how we build intelligent AI systems. Hosts Ardis Kadiu and Petar Djordjevic from Element451 break down why static prompts are no longer enough and how dynamic context management is the key to creating truly smart agents. They explain the technical architecture behind retrieval augmented generation (RAG), discuss the challenges of building multi-agent systems that coordinate effectively, and reveal how Element451's new bulk jobs feature represents the cutting edge of context engineering in higher education. The episode concludes with an analysis of Mark Zuckerberg's vision for "personal superintelligence" - always-on AI assistants that remember everything about you. This matters because institutions need to understand that the success of AI agents depends entirely on having rich, well-structured data and proper context management - not just smart models.Introduction and the Shift from Prompt to Context Engineering (00:00:00)Welcome back Petar Djordjevic as co-host for the third timeThe transformation from static prompt libraries to dynamic context systemsWhy GPT-4's evolution to reasoning models changed everythingHow agents use tools to gather real-time information instead of relying on frozen knowledgeDefining Context Engineering vs Prompt Engineering (00:04:11)Context engineering as managing dynamic information for AI tasksThe evolution from one-shot prompt problems to complex agent workflowsHow automation requirements drove the need for context engineeringWhy "it's their first day on the job every day" for AI modelsDeep Dive into RAG (Retrieval Augmented Generation) (00:17:17)The complete RAG pipeline: from user query to accurate responseBreaking down queries into multiple intents for better resultsVector databases and metadata attachment for information storageThe importance of combining keyword search with semantic searchAdvanced RAG Techniques and Challenges (00:21:08)Data preparation: parsing PDFs and extracting meaningful chunksWhy semantic search alone isn't enough - the CS101 problemRe-ranking and post-processing to get the most relevant resultsHow to handle citations and build user trust in AI responsesBuilding Complex Agent Systems at Element451 (00:33:08)Element451's new Bulk Jobs feature as a case studyThe research phase: gathering student data, interaction history, and contextWhy data-rich platforms are essential for successful agentsMoving from segment-based personalization to true "segment of one"Context Pruning and Tool Selection (00:41:31)Why you can't just throw all data into the context windowPerformance degradation with large contexts - the needle in haystack problemSelecting the right tools for each task (SMS vs WhatsApp example)How to compress and adapt content for optimal performanceMulti-Agent Coordination and State Management (00:46:48)The challenge of multiple agents working on the same studentContext writing: how agents remember what they did and whyPreventing redundant actions across different departmentsBuilding systems that coordinate like experienced teamsCommon Mistakes in Context Engineering (00:50:17)The danger of being "lazy about context" and assuming AI is smart enoughWhy domain expertise is crucial for building effective agentsThe importance of vertical-specific agents (Cursor, Harvey, Sierra examples)How Element451 leverages its CRM data for education-specific agentsThe Future: Personal Superintelligence (00:53:18)Mark Zuckerberg's vision of always-on, memory-rich personal AIMeta's glasses as the computing platform of the futureAndrej Karpathy's small model with massive context approachChallenges: ambient monitoring, recall/summary, lifelong memory files - - - -Connect With Our Co-Hosts:Ardis Kadiuhttps://www.linkedin.com/in/ardis/https://twitter.com/ardisDr. JC Bonillahttps://www.linkedin.com/in/jcbonilla/https://twitter.com/jbonillxAbout The Enrollify Podcast Network:Generation AI is a part of the Enrollify Podcast Network. If you like this podcast, chances are you'll like other Enrollify shows too! Enrollify is made possible by Element451 — The AI Workforce Platform for Higher Ed. Learn more at element451.com.
Welcome to your weekly dose of true HedKandi Anthems! We bring you the ultimate selection of house music, vocal house, nu-disco, funky house, and the occasional chill-out track every week! Follow us on social media: https://www.facebook.com/hedkandi https://www.instagram.com/hedkandi/ Join our community: https://www.facebook.com/groups/hedkandigroup TRACKLIST ⤵ HOUR1 00:00:00 Cure - Close To Me (Closer Mix) 00:05:40 UB40 Vs Bushwhacka - Don't Break My Bushwhaking Heart 00:13:56 It's Immaterial - Driving Away from Home (Wicked Weather for Walking) 00:20:22 Blow Monkeys - La Passionara (12") 00:25:10 The Joubert Singers - Stand on the Word (Dimitri from Paris Sunday Morning Remix) 00:30:38 Steven Slyter - Think About The Groove 00:33:59 Revival House Project x Kathy Brown x Phebe Edwards & Geo Gospel Choir - Earth Song (What About Us) (CCDISCO Remix) 00:39:56 Dr. Bazil - Boogie (Extended Mix) 00:44:10 Michael Gray feat. Sian Lee - Another Holiday (Extended Mix) - SULTRA 00:48:38 Pauline Henry - Release Me (Booker T Extended Mix) 00:51:50 Soul Sonic Orchestra feat. Camden Rose - Unforgettable (Extended Vox Mix) 00:55:46 DJ Georgie Porgie - Love Is All HOUR2 01:00:00 Ayce & Spirit of House - Top Of The World (Original Mix) 01:06:05 Barabara Tucker - No More Broken Hearts (Original Club Mix) 01:14:00 Rasmus Faber - Está Loca (Extended Mix) 01:19:03 Rag'n'Bone Man, Max Chapman, Mischief - Whisper (Extended Mix) 01:23:07 Roger Sanchez & The Gipsy Chico Castillo - El Gitano (Dub Edit) 01:27:23 David Morales - Room 409 (DIRIDIM Mix) 01:30:20 GREEDO (IT) - Soul Sides (Extended Mix) 01:33:48 Sharyn Maceren - Fiesta (Lenny Ruckus Remix) Extended Mix 01:37:07 Metroplane - Be Where I Am (Whitesquare Remix) 01:40:54 Ben Miller - Jumpin ft. KVISION (Extended Mix) 01:44:58 Mark Knight, Roland Clark - Televised (Extended Mix) 01:49:34 Equalateral, Double Trouble, Rebel MC - Street Tuff (Extended Mix) 01:53:40 The Fierce Collective - The Way It Is (EC Vs EK Mix)
THE EPSTEIN ORIGIN STORY, GERRYMANDERING, AMERICA'S MAYOR & NUCLEAR CATASTROPHE We start with “America's Mayor,” HEIDI LAMPERT of Waldport, Oregon. We then meet the dastardly Jeffrey Epstein as presented by the great DR. BOB FITRAKIS, who broke the first stories about Epstein's financial roots in Central Ohio. Long-time activist JOHN STEINER raises the specter of gerrymandering and how we must fight it. KPFA mainstay DON GOLDMACHER raises the issue of re-districting California to match the gerrymandering in Texas and other warped “rotten boroughs.". “Policy is the answer” says HEIDI V as she conjures a movement to defeat fascism. From Texas we hear ALICE EMBREE fill in many of the blanks the Lone Star fight over the manipulation of who will control the US House. Long-time writer/activist THORNE DREYER founder of “The Rag” in Houston & Austin's best left radio station shows us his great new “Notes from the Underground.” Energy expert KEVIN KAMPS confirms that the South Texas Nuke Plant did freeze in the big Lodestar Storm, resulting in dozens of deaths. The details of the Texas energy fiasco during the Big Freeze are supplied by MYLA RESON. We remember the great DAN HIRSCH who powerfully and effectively fought nukes through his whole life & has sadly just passed on. From Michigan we get from ROGER RAPOPORT the inside scoop on the insane proposed restart of the Palisades atomic reactor, versus a self-financed green transition. From southern Ohio we hear from VINA COLLEY about the killing power of uranium enrichment.
Elliot Shmukler (Co-Founder and CEO at Anomalo) talks about the impact of data quality on AI, how unstructured data can be improved, and how monitoring of data lakes can help prevent model drift and give organizations confidence with predictable results.SHOW: 945SHOW TRANSCRIPT: The Cloudcast #945 TranscriptSHOW VIDEO: https://youtube.com/@TheCloudcastNET CLOUD NEWS OF THE WEEK: http://bit.ly/cloudcast-cnotwNEW TO CLOUD? CHECK OUT OUR OTHER PODCAST: "CLOUDCAST BASICS"SPONSORS:[DoIT] Visit doit.com (that's d-o-i-t.com) to unlock intent-aware FinOps at scale with DoiT Cloud Intelligence.[VASION] Vasion Print eliminates the need for print servers by enabling secure, cloud-based printing from any device, anywhere. Get a custom demo to see the difference for yourself.[FCTR] Try FCTR.io (that's F-C-T-R dot io) free for 60 days. Modern security demands modern solutions. Check out Fctr's Tako AI, the first AI agent for Okta, on their websiteSHOW NOTES:Anomalo websiteThe Cloudcast #598 - Data QualitySnowflake invests in AnomaloTopic 1 - Elliot, welcome back! It's hard to believe it has been 3 years since we spoke! Give everyone a brief introduction.Topic 2 - Here's the problem I see when it comes to AI adoption today. There isn't an “off the shelf” AI model with an organization's data built in; that's impossible. So, you must bring this data, often unstructured, to the model, often with mixed results. Do you agree?Topic 3 - I see data quality in two ways… the quality of the data before ingestion is one way, we want the data to be clean going in. But, we also need a way to detect, mitigate, and do a root cause analysis for quality checks along the way, correct? Give everyone an idea of what this life cycle looks like.Topic 4 - What are you seeing as the barriers to adoption? Is it the tools, the models, the need for RAG pipelines, the lack of data scientists, and AIOps?Topic 5 - We have this crossroads where proprietary data makes an organization unique, but exposing that unique data puts the organization at risk. How much of a factor does this play, and how do you advise organizations around this complex intersectionTopic 6 - There is always this concept of predictable results. This answer should be consistent and repeatable. We've seen things like model/data drift and hallucinations hinder this concept, leading to a lack of confidence in the results. How do you advise organizations to tackle this lifecycle management and predictability over time?Topic 7 - If listeners want to get started and learn more, what's the best way to get started?FEEDBACK?Email: show at the cloudcast dot netBluesky: @cloudcastpod.bsky.socialTwitter/X: @cloudcastpodInstagram: @cloudcastpodTikTok: @cloudcastpod
Chris Redmond is back on The RAG for the third time and his story keeps getting better.When I first interviewed Chris in 2019, he'd just gone fully remote and was chasing a digital nomad lifestyle with no fixed office. At the time, I thought he was mad.Then COVID hit, and while the rest of the industry scrambled, Chris and his team were already built for the new world.Fast forward to now, Redholt is a retained headhunting firm running at 60 percent profit with just 8 people. Chris lives in Dubai, has transformed his health (losing 35kg in six months), and is building towards something much bigger: a business that runs without him and can one day be sold.In this episode, we cover:His unique forensic recruitment modelWhat it takes to move from lifestyle business to scalable businessThe pressure of being the only BD engine in your companyWhy personal reinvention is key to professional growthAnd how social media is helping drive both brand and client retentionWatch the episode live on my LinkedIn this Wednesday at 12 pm or catch up afterwards wherever you get your podcasts.If you're a founder thinking about long-term value and lifestyle alignment, this one's not to be missed.Watch our ten-minute video on “The most profitable way to grow your recruitment agency in 2025” here: https://hubs.ly/Q03lBpYC0Apply to be on the next RAG season here: https://hubs.ly/Q03yjlLd0 Chapters00:00 Introduction to The Rag Podcast03:23 Chris Redmond's Journey and Business Evolution10:13 Red Hole's Unique Recruitment Methodology17:56 Scalability and Future Plans for Red Hole22:02 The Impact of Moving to Dubai29:06 Personal Transformation and Health Journey50:36 The Power of Social Media in Business01:04:30 Future Vision and Exit Strategy for Red Hole__________________________________________Episode Sponsor: AtlasYour memory isn't perfect. So Atlas remembers everything for you. Atlas is an end-to-end recruitment platform built for the AI generation. It automates your admin so you can focus on the business tasks that matter. How many conversations do you have every day? With clients. Candidates. Your team. Service providers.Now how many of those conversations can you recall with 100% accuracy? How many hours a week do you spend making notes to try and retain as much as possible? And how much is still getting lost along the way? Traditional CRM systems weren't built for the type of recruitment business you're running right now. They were built to rely on the structured, tagged, categorised, and formal data you could feed it. Manual processes that needed you to input specific information, based on specific questions and answers. But what about all the other conversations you're having every single day? Atlas isn't an ATS or a CRM. It's an Intelligent Business Platform that helps you perform 10X better than you could on your own. How? By removing all your low value tasks, acting as your perfect memory, and providing highly relevant recommendations to impact your performance. Learn more about the power of Atlas – and take advantage of the exclusive offer for The RAG listeners – by visiting https://recruitwithatlas.com/therag/ __________________________________________Episode Sponsor: HoxoRecruitment agency founders - this one's for...
Using AI isn't a competitive advantage anymore.
Caddebostan'da Ragıp Paşa Köşkü yapılırken çevrede çıkan dedikodular, Abdülhamit paşaları neden Kadıköy tarafına rağbet ediyordu ve başka şeyler...
Luke Marsden, CEO and Founder, HelixML talks about Private GenAI. What is it? Why do you need it? We also discuss integration into CI/CD pipelines, the layers of a Private GenAI Stack, and why most organizations are opting for RAG over fine-tuning LLMs.SHOW: 943SHOW TRANSCRIPT: The Cloudcast #943 TranscriptSHOW VIDEO: https://youtube.com/@TheCloudcastNET NEW TO CLOUD? CHECK OUT OUR OTHER PODCAST: "CLOUDCAST BASICS" SPONSORS:[DoIT] Visit doit.com (that's d-o-i-t.com) to unlock intent-aware FinOps at scale with DoiT Cloud Intelligence.[FCTR] Try FCTR.io (that's F-C-T-R dot io) free for 60 days. Modern security demands modern solutions. Check out Fctr's Tako AI, the first AI agent for Okta, on their website[VASION] Vasion Print eliminates the need for print servers by enabling secure, cloud-based printing from any device, anywhere. Get a custom demo to see the difference for yourself.SHOW NOTES:HelixML websiteHelixML GitHubHelix 1.0 Announcement BlogTopic 1 - Welcome to the show Luke. Give everyone a brief intro.Topic 2 - Let's start with Priavte GenAI. What is it? Why should organizations out there consider it? Why not just use OpenAI GPT's and fine tune them?Topic 2a Follow up - Regulatory Compliance - take the opposing forces in the EU for instance to using SaaS based services based in the United States.Topic 3 - Let's break down the layers in a typical Private AI stack. I'm seen various ways to represent this such as infrastructure layer, MLOps layer, models, data layer (typically RAG), etc. How do you break up the stack into individual componentsTopic 4 - My mind immediately jumps to similarities in the DevOps space. Abstraction layers and components like Docker and containers comes to mind, integration into CI/CD pipelines, etc. I feel like MLOps is it's own thing with specific tools and workflows. Does this all come together and if so how?Topic 5 - Also, what does this mean for versioning and lifecycle management of the models and the data?Topic 6 - We are seeing more and more data pipelines with backed by multiple models, sometimes in multiple locations. How do handle this from both a scheduling and interface standpoint? Is everything hidden behind APIs for instance?Topic 7 - If anyone is interested, what's the best way to get started?FEEDBACK?Email: show at the cloudcast dot netBluesky: @cloudcastpod.bsky.socialTwitter/X: @cloudcastpodInstagram: @cloudcastpodTikTok: @cloudcastpod
Episode: 3321 Scott Joplin persevered in creating Ragtime music as a black musician in post-Civil War America. . Today, Joplin and Ragtime.
Scott and Wes break down how to code with and for AI; perfect for skeptics, beginners, and curious devs. They cover everything from Ghost Text and CLI agents to building your own AI-powered apps with embeddings, function calling, and multi-model workflows. Show Notes 00:00 Welcome to Syntax! 03:56 How to interface with AI. 04:07 IDE Ghost Text. 05:45 IDE Chat, Agents. 08:00 CLI Agents. Claude Code. Open Code. Gemini. 11:13 MCP Servers. Context7 14:47 GUI apps. v0. Bolt.new. Lovable. Windsurf. 19:07 Existing Chat app like ChatGPT. 22:37 Building things WITH AI. 23:32 Prompting. 26:53 Streaming VS not streaming. 28:14 Embeddings and Rag. 31:09 MCP Server. CJ's MCP Deep Dive. 32:36 Brought to you by Sentry.io. 33:25 Multi-model, multi-provider. 36:27 npm libs to use to code with AI. OpenAI SDK. AI SDK. Cloudflare Agents. Langchain. Local AI Tensorflow. Transformers.js. Huggingface. 44:12 Processes and exploring. Hit us up on Socials! Syntax: X Instagram Tiktok LinkedIn Threads Wes: X Instagram Tiktok LinkedIn Threads Scott: X Instagram Tiktok LinkedIn Threads Randy: X Instagram YouTube Threads
ChatGPT Agent is here!↳ What the heck is it? ↳ How does it work? ↳ What do you need to know? Glad you asked, shorties. Join us for the answers. Square keeps up so you don't have to slow down. Get everything you need to run and grow your business—without any long-term commitments. And why wait? Right now, you can get up to $200 off Square hardware at square.com/go/jordan. Run your business smarter with Square. Get started today.Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Thoughts on this? Join the convo and connect with other AI leaders on LinkedIn.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:ChatGPT Agent Mode Overview & NamingLive ChatGPT Agent Demo WalkthroughChatGPT Agent Mode Availability & PricingOperator vs. Deep Research Capabilities ExplainedChatGPT Agent Virtual Computer FunctionsSpreadsheet and PowerPoint Generation in ChatGPTMini RAG-Ready Agents with Data ConnectorsChatGPT Agent Security and Biological Risk ClassificationTimestamps:00:00 "Introducing ChatGPT Agent"03:41 Potential Delay for Paid Plan Rollout09:24 "Chat GPT Agent: New Tools Overview"12:44 OpenAI-Microsoft Tensions Over Software Overlap16:42 "ChatGPT's New RAG Feature Unveiled"21:55 AI Agent with Weapon Risk23:31 Agent Models: Boon or Bane?29:05 "Agent Mode: Seamless Editing Integration"Keywords:ChatGPT Agent, Agent Mode, OpenAI, virtual computer, Agentic skills, Operator, Deep Research, browsing websites, web research, synthesizing information, Microsoft competitor, PowerPoint creation, Excel spreadsheet creation, terminal access, public API integration, connectors, data analysis, image generation, multi-agent environments, retrieval augmented generation, mini RAG, AI operating system, human-in-the-loop, security concerns, biology classifier, biological weapons classification, chemical weapons classification, O3 model, Google Gemini 2.5 Pro, agentic models, AI workflows, editable slide deck, Microsoft Office alternative, AI-powered presentations, spreadsheet automation, cloud-based agents, AI task automation, calendar integration, Gmail connector, Google Drive connector, Outlook connector, team collaboration, premium AI features, desktop to browser transition, file creation, terminal commands, workflow automationSend Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Ready for ROI on GenAI? Go to youreverydayai.com/partner
Software Engineering Radio - The Podcast for Professional Software Developers
Jacob Visovatti and Conner Goodrum of Deepgram speak with host Kanchan Shringi about testing ML models for enterprise use and why it's critical for product reliability and quality. They discuss the challenges of testing machine learning models in enterprise environments, especially in foundational AI contexts. The conversation particularly highlights the differences in testing needs between companies that build ML models from scratch and those that rely on existing infrastructure. Jacob and Conner describe how testing is more complex in ML systems due to unstructured inputs, varied data distribution, and real-time use cases, in contrast to traditional software testing frameworks such as the testing pyramid. To address the difficulty of ensuring LLM quality, they advocate for iterative feedback loops, robust observability, and production-like testing environments. Both guests underscore that testing and quality assurance are interdisciplinary efforts that involve data scientists, ML engineers, software engineers, and product managers. Finally, this episode touches on the importance of synthetic data generation, fuzz testing, automated retraining pipelines, and responsible model deployment—especially when handling sensitive or regulated enterprise data. Brought to you by IEEE Computer Society and IEEE Software magazine.
In this episode, I share how I built SteveBot, a custom AI assistant powered by a RAG database that mimics every lesson that I’ve ever taught. I break down the tech stack, the biggest mistakes made, and how this changes the classes I teach. What You’ll Learn How I built my AI Bot from my course, blog, and podcast The cool tech that makes it all work seamlessly Tips to create your own AI-powered project easily Sponsors SellersSummit.com – The Sellers Summit is the ecommerce conference that I’ve run for the past 8 years. It’s small and intimate and you’ll […] The post 598: I Turned My Course, Blog, And Podcast Into An AI Bot – Here's The Tech Behind It appeared first on MyWifeQuitHerJob.com.
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