Podcasts about loubna

Nouvelle saison pour Actu'Vu. Après une courte pause, nous voici de retour pour la 7e année avec les élèves de l'école de journalisme de Toulouse.Dans cet épisode, l'emprisonnement de Nicolas Sarkozy, un braquage, des élections au Japon, Total Energies condamné, des JO sous dopage et une présentation de Sciences Po Paris ! Journalistes - Zoltan, Loubna, Maëlle, Nina, Ludovic.A la régie - CorentinPrésentation - Lina

Dr. Loubna Kfafi is a Moroccan aesthetic doctor specializing in medical lasers, anti-aging treatments, and nutrition. She operates a multidisciplinary clinic in Meknes, Morocco, offering services such as laser therapy, injections, lifting procedures, slimming treatments, and skincare. Dr. Kfafi is also a certified trainer in her field, providing educational resources and guidance to both clients and professionals. Her clinic emphasizes a holistic approach to beauty and wellness, integrating advanced aesthetic technologies with personalized care.#hikmatwehbipodcast #podcast#arabicpodcast #LoubnaKfafi#wstudiodxbحكمت_وهبي#حكمت_وهبي_بودكاست#

Transparence salariale : révolution RH ou simple vitrine ?"Rémunération selon profil", "grille confidentielle", "on verra en entretien"...➡️ Ces phrases vont bientôt disparaître.Et c'est tant mieux.Dans cet épisode percutant, je reçois Loubna Tigroussine, juriste RH et formatrice en droit du travail. Ensemble, on décrypte la directive européenne sur la transparence salariale, ses impacts concrets pour les entreprises, et les pièges à éviter si vous êtes RH, recruteur ou manager.

In deze laatste aflevering van de zomerreeks praat Kato Van Roy met drie jongeren. Loubna, Lamiae en Musia vertellen over hun eerste werkervaringen die niet altijd makkelijk waren, maar die hen ook veel kennis en inzichten brachten. Beter dan ooit weten ze wat ze belangrijk vinden bij de invulling van hun werkleven. Met dank aan Connect for Global Change.

Artificial intelligence is here, but how much is too much when it comes to your MBA application? This week, host Zach Fernebok sits down with Loubna Bouamane, founder of Admission Concierge and former Director of MBA Admissions, to explore the nuanced role AI now plays in business school applications. From brainstorming essays to managing deadlines, AI tools like ChatGPT can support candidates, but there's a fine line between using AI and outsourcing your voice. Loubna shares the real risks of overrelying on AI, explains how admissions teams are adapting to this new landscape, and offers actionable advice on preserving authenticity in an increasingly automated world. If you're considering using AI in your MBA journey (or already are) this episode is your guide to staying smart, ethical, and unforgettable. Admission Concierge: https://admissionconcierge.com/ Key Takeaways 1. AI can help, but it can't (and shouldn't) tell your story. Using AI for structure, grammar, and idea generation can be helpful, but outsourcing your personal voice leads to generic, shallow, and forgettable applications. 2. Authenticity is your biggest competitive edge. Admissions officers can spot essays that lack real reflection. What stands out isn't perfect prose. It's self-awareness, emotional honesty, and clarity of purpose. 3. Schools aren't anti-AI. They're anti-fake. Top programs are updating their policies to emphasize ethics. Many condone AI for brainstorming, but warn against using it to write essays or letters of recommendation. 4. Interviews and real-time assessments are gaining importance. Expect more behavioral, values-based, and spontaneous prompts as schools look to assess consistency between your written and spoken narrative. 5. Use AI wisely: treat it like a project assistant, not a ghostwriter. Smart uses include organizing deadlines, shortening essays, or improving clarity, not generating full drafts or making up content. Chapters 00:55 - The Beginning of AI in Applications 02:48 - The Role of AI in Application Strategy 05:29 - Common Uses of AI by Applicants 09:45 - Business School Response to AI 12:03 - Smart and Responsible AI Usage 12:54 - The Risks of AI in Applications 15:09 - The Importance of Authenticity 17:45 - Strategies for Authentic Writing 18:51 - Exercises for Developing Personal Narratives 20:50 - Real-Life Examples of Authenticity 22:53 - Future of Admissions in the Age of AI 24:31 - Final Thoughts

About Loubna AtbirLoubna Atbir started her journey in the UAE in 2014, initially working in the aviation industry before making a bold career shift into real estate. With a deep passion for commercial spaces, she quickly established herself as a leader in the field. She manages two Office Square business centers in Abu Dhabi, overseeing operations and ensuring businesses access high-quality, sustainable, and tech-integrated office spaces. Her work has been instrumental in addressing the demand for flexible office solutions, particularly as Abu Dhabi continues to evolve into a global business hub.About this EpisodeIn this episode of The Matrix Green Pill Podcast, host Hilmarie Hutchison sits down with Loubna Atbir, an experienced commercial real estate specialist and a key figure behind the success of Office Square Abu Dhabi. Originally from Morocco, Loubna transitioned from a career in aviation operations to commercial real estate, where she now leads two thriving business centers in Abu Dhabi. She shares insights on the rising demand for premium office spaces, the integration of sustainability in work environments, and how technology is reshaping the future of flexible office solutions. With a strong focus on providing top-tier service and adapting to market needs, Loubna explains how Office Square is pioneering a new era of workspace solutions.Quotes1:49 - My dream growing up was actually to be in real estate and commercial real estate, and specifically speaking, that is exactly where I am now.3:26 - The commercial office space for A-grade buildings is almost full in Abu Dhabi. There is literally no availability, and the business market is urgently looking for premium serviced offices.4:22 - The reason why there is such strong demand is that there is a shortage of premium A-grade offices, which makes flexible office spaces like Office Square a very strong option in Abu Dhabi.5:16 - When you visit Office Square facilities, you will always notice there is greenery throughout the centers. This helps improve air quality and brings positivity to the workspace.6:41 - One of our unique technology approaches is remote access to offices via a Bluetooth app, allowing tenants to enter their spaces without the need for keys.7:43 - Our tenants have 24/7 access to their office space using only their phone—no keys required.8:40 - Flexible workspaces allow companies to upscale or downscale depending on their needs, making it a more efficient and cost-effective solution for modern businesses.9:19 - Abu Dhabi is a global business hub, strategically positioned in the center of the world. With new real estate and organizational projects, it continues to attract businesses and investment.10:37 - Planning is the key. When you plan your business properly, choosing a flexible office can help control costs while providing the support you need to run your operations smoothly.12:36 - A new feature introduced in modern office spaces is the broadcast room, dedicated to professionals in social media and content creation.13:36 - The best business advice I ever received is resilience and being flexible.14:09 - I try to be exposed to the sun as much as I can—even a few minutes is enough to boost my energy for the whole day.14:36 - The turning point in my career was when I joined Office Square Abu Dhabi. Managing a new business center in a challenging market took my career to the next level.Useful LinksProfile: The Matrix Green Pill Podcast: https://thematrixgreenpill.com/Please review us: https://g.page/r/CS8IW35GvlraEAI/review

In this episode, we sit down withLoubna Imenchal, VP at Logitech, for an insightful discussion on how leaders can successfully balance delivering on executive priorities while introducing innovative approaches. Loubna shares concrete examples about her fearless journey of stepping into roles beyond her prior industry experience, landing them by demonstrating impact and fresh strategies. She offers practical advice on securing alignment with leadership before accepting a new role, ensuring clarity and alignment on vision and strategy to achieve organizational goals.Her dedication to fostering inclusive workplaces shines through her work with Connect & Elevate, a platform empowering women in tech. Loubna's personal stories and actionable insights will inspire Catalysts across industries to seek out new possibilities and lead with authenticity.Tune in for a compelling conversation about fearless leadership, aligning bold visions, and building a culture of diversity and innovation.Original music by ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Lynz Floren⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠.

In this episode of IFC Audio Stories, Loubna Ghaleb, Board Member for Strategy and Development at Tanger Med Group and the 2025 winner of the MIGA Gender Leadership Award, shares her journey in the infrastructure and logistics sector. She discusses breaking barriers as a woman in a male-dominated industry, key moments in her leadership path, and her commitment to mentoring future female leaders. Tune in for an inspiring conversation on resilience, growth, and driving change through infrastructure development.

Internet se remplit de textes, images et vidéos créés par des modèles, et ces contenus finissent à leur tour dans les jeux de données d'entraînement. Avec Loubna Ben Allal, experte en constitution de datasets, on analyse les risques d'« auto-intoxication » des IA: dégradation de la qualité, biais amplifiés et confusion entre œuvres originales et fakes. On passe en revue les garde-fous possibles (curation humaine, filtrage, traçabilité des sources) et on évalue si un véritable effondrement est à prévoir ou si la progression peut encore continuer.En plateau Michaël de Marliave — animateur Matthieu Lambda — chroniqueur Loubna Ben Allal — invitée Hébergé par Acast. Visitez acast.com/privacy pour plus d'informations.

Happy holidays! We'll be sharing snippets from Latent Space LIVE! through the break bringing you the best of 2024! We want to express our deepest appreciation to event sponsors AWS, Daylight Computer, Thoth.ai, StrongCompute, Notable Capital, and most of all all our LS supporters who helped fund the gorgeous venue and A/V production!For NeurIPS last year we did our standard conference podcast coverage interviewing selected papers (that we have now also done for ICLR and ICML), however we felt that we could be doing more to help AI Engineers 1) get more industry-relevant content, and 2) recap 2024 year in review from experts. As a result, we organized the first Latent Space LIVE!, our first in person miniconference, at NeurIPS 2024 in Vancouver. Today, we're proud to share Loubna's highly anticipated talk (slides here)!Synthetic DataWe called out the Synthetic Data debate at last year's NeurIPS, and no surprise that 2024 was dominated by the rise of synthetic data everywhere:* Apple's Rephrasing the Web, Microsoft's Phi 2-4 and Orca/AgentInstruct, Tencent's Billion Persona dataset, DCLM, and HuggingFace's FineWeb-Edu, and Loubna's own Cosmopedia extended the ideas of synthetic textbook and agent generation to improve raw web scrape dataset quality* This year we also talked to the IDEFICS/OBELICS team at HuggingFace who released WebSight this year, the first work on code-vs-images synthetic data.* We called Llama 3.1 the Synthetic Data Model for its extensive use (and documentation!) of synthetic data in its pipeline, as well as its permissive license. * Nemotron CC and Nemotron-4-340B also made a big splash this year for how they used 20k items of human data to synthesize over 98% of the data used for SFT/PFT.* Cohere introduced Multilingual Arbitrage: Optimizing Data Pools to Accelerate Multilingual Progress observing gains of up to 56.5% improvement in win rates comparing multiple teachers vs the single best teacher model* In post training, AI2's Tülu3 (discussed by Luca in our Open Models talk) and Loubna's Smol Talk were also notable open releases this year.This comes in the face of a lot of scrutiny and criticism, with Scale AI as one of the leading voices publishing AI models collapse when trained on recursively generated data in Nature magazine bringing mainstream concerns to the potential downsides of poor quality syndata:Part of the concerns we highlighted last year on low-background tokens are coming to bear: ChatGPT contaminated data is spiking in every possible metric:But perhaps, if Sakana's AI Scientist pans out this year, we will have mostly-AI AI researchers publishing AI research anyway so do we really care as long as the ideas can be verified to be correct?Smol ModelsMeta surprised many folks this year by not just aggressively updating Llama 3 and adding multimodality, but also adding a new series of “small” 1B and 3B “on device” models this year, even working on quantized numerics collaborations with Qualcomm, Mediatek, and Arm. It is near unbelievable that a 1B model today can qualitatively match a 13B model of last year:and the minimum size to hit a given MMLU bar has come down roughly 10x in the last year. We have been tracking this proxied by Lmsys Elo and inference price:The key reads this year are:* MobileLLM: Optimizing Sub-billion Parameter Language Models for On-Device Use Cases* Apple Intelligence Foundation Language Models* Hymba: A Hybrid-head Architecture for Small Language Models* Loubna's SmolLM and SmolLM2: a family of state-of-the-art small models with 135M, 360M, and 1.7B parameters on the pareto efficiency frontier.* and Moondream, which we already covered in the 2024 in Vision talkFull Talk on YouTubeplease like and subscribe!Timestamps* [00:00:05] Loubna Intro* [00:00:33] The Rise of Synthetic Data Everywhere* [00:02:57] Model Collapse* [00:05:14] Phi, FineWeb, Cosmopedia - Synthetic Textbooks* [00:12:36] DCLM, Nemotron-CC* [00:13:28] Post Training - AI2 Tulu, Smol Talk, Cohere Multilingual Arbitrage* [00:16:17] Smol Models* [00:18:24] On Device Models* [00:22:45] Smol Vision Models* [00:25:14] What's NextTranscript2024 in Synthetic Data and Smol Models[00:00:00] ​[00:00:05] Loubna Intro[00:00:05] Speaker: ​I'm very happy to be here. Thank you for the invitation. So I'm going to be talking about synthetic data in 2024. And then I'm going to be talking about small on device models. So I think the most interesting thing about synthetic data this year is that like now we have it everywhere in the large language models pipeline.[00:00:33] The Rise of Synthetic Data Everywhere[00:00:33] Speaker: I think initially, synthetic data was mainly used just for post training, because naturally that's the part where we needed human annotators. And then after that, we realized that we don't really have good benchmarks to [00:01:00] measure if models follow instructions well, if they are creative enough, or if they are chatty enough, so we also started using LLMs as judges.[00:01:08] Speaker: Thank you. And I think this year and towards the end of last year, we also went to the pre training parts and we started generating synthetic data for pre training to kind of replace some parts of the web. And the motivation behind that is that you have a lot of control over synthetic data. You can control your prompt and basically also the kind of data that you generate.[00:01:28] Speaker: So instead of just trying to filter the web, you could try to get the LLM to generate what you think the best web pages could look like and then train your models on that. So this is how we went from not having synthetic data at all in the LLM pipeline to having it everywhere. And so the cool thing is like today you can train an LLM with like an entirely synthetic pipeline.[00:01:49] Speaker: For example, you can use our Cosmopedia datasets and you can train a 1B model on like 150 billion tokens that are 100 percent synthetic. And those are also of good quality. And then you can [00:02:00] instruction tune the model on a synthetic SFT dataset. You can also do DPO on a synthetic dataset. And then to evaluate if the model is good, you can use.[00:02:07] Speaker: A benchmark that uses LLMs as a judge, for example, MTBench or AlpacaEvil. So I think this is like a really mind blowing because like just a few years ago, we wouldn't think this is possible. And I think there's a lot of concerns about model collapse, and I'm going to talk about that later. But we'll see that like, if we use synthetic data properly and we curate it carefully, that shouldn't happen.[00:02:29] Speaker: And the reason synthetic data is very popular right now is that we have really strong models, both open and closed. It is really cheap and fast to use compared to human annotations, which cost a lot and take a lot of time. And also for open models right now, we have some really good inference frameworks.[00:02:47] Speaker: So if you have enough GPUs, it's really easy to spawn these GPUs and generate like a lot of synthetic data. Some examples are VLM, TGI, and TensorRT.[00:02:57] Model Collapse[00:02:57] Speaker: Now let's talk about the elephant in the room, model [00:03:00] collapse. Is this the end? If you look at the media and all of like, for example, some papers in nature, it's really scary because there's a lot of synthetic data out there in the web.[00:03:09] Speaker: And naturally we train on the web. So we're going to be training a lot of synthetic data. And if model collapse is going to happen, we should really try to take that seriously. And the other issue is that, as I said, we think, a lot of people think the web is polluted because there's a lot of synthetic data.[00:03:24] Speaker: And for example, when we're building fine web datasets here at Guillerm and Hinek, we're interested in like, how much synthetic data is there in the web? So there isn't really a method to properly measure the amount of synthetic data or to save a webpage synthetic or not. But one thing we can do is to try to look for like proxy words, for example, expressions like as a large language model or words like delve that we know are actually generated by chat GPT.[00:03:49] Speaker: We could try to measure the amount of these words in our data system and compare them to the previous years. For example, here, we measured like a, these words ratio in different dumps of common crawl. [00:04:00] And we can see that like the ratio really increased after chat GPT's release. So if we were to say that synthetic data amount didn't change, you would expect this ratio to stay constant, which is not the case.[00:04:11] Speaker: So there's a lot of synthetic data probably on the web, but does this really make models worse? So what we did is we trained different models on these different dumps. And we then computed their performance on popular, like, NLP benchmarks, and then we computed the aggregated score. And surprisingly, you can see that the latest DOMs are actually even better than the DOMs that are before.[00:04:31] Speaker: So if there's some synthetic data there, at least it did not make the model's worse. Yeah, which is really encouraging. So personally, I wouldn't say the web is positive with Synthetic Data. Maybe it's even making it more rich. And the issue with like model collapse is that, for example, those studies, they were done at like a small scale, and you would ask the model to complete, for example, a Wikipedia paragraph, and then you would train it on these new generations, and you would do that every day.[00:04:56] Speaker: iteratively. I think if you do that approach, it's normal to [00:05:00] observe this kind of behavior because the quality is going to be worse because the model is already small. And then if you train it just on its generations, you shouldn't expect it to become better. But what we're really doing here is that we take a model that is very large and we try to distill its knowledge into a model that is smaller.[00:05:14] Phi, FineWeb, Cosmopedia - Synthetic Textbooks[00:05:14] Speaker: And in this way, you can expect to get like a better performance for your small model. And using synthetic data for pre-training has become really popular. After the textbooks are all you need papers where Microsoft basically trained a series of small models on textbooks that were using a large LLM.[00:05:32] Speaker: And then they found that these models were actually better than models that are much larger. So this was really interesting. It was like first of its time, but it was also met with a lot of skepticism, which is a good thing in research. It pushes you to question things because the dataset that they trained on was not public, so people were not really sure if these models are really good or maybe there's just some data contamination.[00:05:55] Speaker: So it was really hard to check if you just have the weights of the models. [00:06:00] And as Hugging Face, because we like open source, we tried to reproduce what they did. So this is our Cosmopedia dataset. We basically tried to follow a similar approach to what they documented in the paper. And we created a synthetic dataset of textbooks and blog posts and stories that had almost 30 billion tokens.[00:06:16] Speaker: And we tried to train some models on that. And we found that like the key ingredient to getting a good data set that is synthetic is trying as much as possible to keep it diverse. Because if you just throw the same prompts as your model, like generate like a textbook about linear algebra, and even if you change the temperature, the textbooks are going to look alike.[00:06:35] Speaker: So there's no way you could scale to like millions of samples. And the way you do that is by creating prompts that have some seeds that make them diverse. In our case, the prompt, we would ask the model to generate a textbook, but make it related to an extract from a webpage. And also we try to frame it within, to stay within topic.[00:06:55] Speaker: For example, here, we put like an extract about cardiovascular bioimaging, [00:07:00] and then we ask the model to generate a textbook related to medicine that is also related to this webpage. And this is a really nice approach because there's so many webpages out there. So you can. Be sure that your generation is not going to be diverse when you change the seed example.[00:07:16] Speaker: One thing that's challenging with this is that you want the seed samples to be related to your topics. So we use like a search tool to try to go all of fine web datasets. And then we also do a lot of experiments with the type of generations we want the model to generate. For example, we ask it for textbooks for middle school students or textbook for college.[00:07:40] Speaker: And we found that like some generation styles help on some specific benchmarks, while others help on other benchmarks. For example, college textbooks are really good for MMLU, while middle school textbooks are good for benchmarks like OpenBookQA and Pico. This is like a sample from like our search tool.[00:07:56] Speaker: For example, you have a top category, which is a topic, and then you have some [00:08:00] subtopics, and then you have the topic hits, which are basically the web pages in fine web does belong to these topics. And here you can see the comparison between Cosmopedia. We had two versions V1 and V2 in blue and red, and you can see the comparison to fine web, and as you can see throughout the training training on Cosmopedia was consistently better.[00:08:20] Speaker: So we managed to get a data set that was actually good to train these models on. It's of course so much smaller than FineWeb, it's only 30 billion tokens, but that's the scale that Microsoft data sets was, so we kind of managed to reproduce a bit what they did. And the data set is public, so everyone can go there, check if everything is all right.[00:08:38] Speaker: And now this is a recent paper from NVIDIA, Neumatron CC. They took things a bit further, and they generated not a few billion tokens, but 1. 9 trillion tokens, which is huge. And we can see later how they did that. It's more of, like, rephrasing the web. So we can see today that there's, like, some really huge synthetic datasets out there, and they're public, so, [00:09:00] like, you can try to filter them even further if you want to get, like, more high quality corpses.[00:09:04] Speaker: So for this, rephrasing the web this approach was suggested in this paper by Pratyush, where basically in this paper, they take some samples from C4 datasets, and then they use an LLM to rewrite these samples into a better format. For example, they ask an LLM to rewrite the sample into a Wikipedia passage or into a Q& A page.[00:09:25] Speaker: And the interesting thing in this approach is that you can use a model that is Small because it doesn't, rewriting doesn't require knowledge. It's just rewriting a page into a different style. So the model doesn't need to have like knowledge that is like extensive of what is rewriting compared to just asking a model to generate a new textbook and not giving it like ground truth.[00:09:45] Speaker: So here they rewrite some samples from C4 into Q& A, into Wikipedia, and they find that doing this works better than training just on C4. And so what they did in Nemo Trans CC is a similar approach. [00:10:00] They rewrite some pages from Common Crawl for two reasons. One is to, like improve Pages that are low quality, so they rewrite them into, for example, Wikipedia page, so they look better.[00:10:11] Speaker: And another reason is to create more diverse datasets. So they have a dataset that they already heavily filtered, and then they take these pages that are already high quality, and they ask the model to rewrite them in Question and Answer format. into like open ended questions or like multi choice questions.[00:10:27] Speaker: So this way they can reuse the same page multiple times without fearing like having multiple duplicates, because it's the same information, but it's going to be written differently. So I think that's also a really interesting approach for like generating synthetic data just by rephrasing the pages that you already have.[00:10:44] Speaker: There's also this approach called Prox where they try to start from a web page and then they generate a program which finds how to write that page to make it better and less noisy. For example, here you can see that there's some leftover metadata in the web page and you don't necessarily want to keep that for training [00:11:00] your model.[00:11:00] Speaker: So So they train a model that can generate programs that can like normalize and remove lines that are extra. So I think this approach is also interesting, but it's maybe less scalable than the approaches that I presented before. So that was it for like rephrasing and generating new textbooks.[00:11:17] Speaker: Another approach that I think is really good and becoming really popular for using synthetic data for pre training is basically building a better classifiers. For filtering the web for example, here we release the data sets called fine web edu. And the way we built it is by taking Llama3 and asking it to rate the educational content of web pages from zero to five.[00:11:39] Speaker: So for example, if a page is like a really good textbook that could be useful in a school setting, it would get a really high score. And if a page is just like an advertisement or promotional material, it would get a lower score. And then after that, we take these synthetic annotations and we train a classifier on them.[00:11:57] Speaker: It's a classifier like a BERT model. [00:12:00] And then we run this classifier on all of FineWeb, which is a 15 trillion tokens dataset. And then we only keep the pages that have like a score that's higher than 3. So for example, in our case, we went from 15 trillion tokens to 3. to just 1. 5 trillion tokens. Those are really highly educational.[00:12:16] Speaker: And as you can see here, a fine web EDU outperforms all the other public web datasets by a larger margin on a couple of benchmarks here, I show the aggregated score and you can see that this approach is really effective for filtering web datasets to get like better corpuses for training your LLMs.[00:12:36] DCLM, Nemotron-CC[00:12:36] Speaker: Others also try to do this approach. There's, for example, the DCLM datasets where they also train the classifier, but not to detect educational content. Instead, they trained it on OpenHermes dataset, which is a dataset for instruction tuning. And also they explain like IAM5 subreddits, and then they also get really high quality dataset which is like very information dense and can help [00:13:00] you train some really good LLMs.[00:13:01] Speaker: And then Nemotron Common Crawl, they also did this approach, but instead of using one classifier, they used an ensemble of classifiers. So they used, for example, the DCLM classifier, and also classifiers like the ones we used in FineWebEducational, and then they combined these two. Scores into a, with an ensemble method to only retain the best high quality pages, and they get a data set that works even better than the ones we develop.[00:13:25] Speaker: So that was it for like synthetic data for pre-training.[00:13:28] Post Training - AI2 Tulu, Smol Talk, Cohere Multilingual Arbitrage[00:13:28] Speaker: Now we can go back to post training. I think there's a lot of interesting post training data sets out there. One that was released recently, the agent instructs by Microsoft where they basically try to target some specific skills. And improve the performance of models on them.[00:13:43] Speaker: For example, here, you can see code, brain teasers, open domain QA, and they managed to get a dataset that outperforms that's when fine tuning Mistral 7b on it, it outperforms the original instruct model that was released by Mistral. And as I said, to get good synthetic data, you really [00:14:00] have to have a framework to make sure that your data is diverse.[00:14:03] Speaker: So for example, for them, they always. And then they see the generations on either source code or raw text documents, and then they rewrite them to make sure they're easier to generate instructions from, and then they use that for their like instruction data generation. There's also the Tool3SFT mixture, which was released recently by Allen AI.[00:14:23] Speaker: It's also really good quality and it covers a wide range of tasks. And the way they make sure that this dataset is diverse is by using personas from the persona hub datasets. Which is basically a data set of like I think over a million personas. And for example, in the tool mixture to generate like a new code snippet, they would give like the model persona, for example, a machine learning researcher interested in neural networks, and then ask it to generate like a coding problem.[00:14:49] Speaker: This way you make sure that your data set is really diverse, and then you can further filter the data sets, for example, using the reward models. We also released a dataset called Smalltalk, [00:15:00] and we also tried to cover the wide range of tasks, and as you can see here, for example, when fine tuning Mistral 7b on the dataset, we also outperformed the original Mistral instructs on a number of benchmarks, notably on mathematics and instruction following with ifevil.[00:15:18] Speaker: Another paper that's really interesting I wanted to mention is this one called Multilingual Data Arbitrage by Cohere. And basically they want to generate a data set for post training that is multilingual. And they have a really interesting problem. It's the fact that there isn't like one model that's really good at all the languages they wanted.[00:15:36] Speaker: So what they do is that like they use not just one teacher model, but multiple teachers. And then they have a router which basically sends the prompts they have to all these models. And then they get the completions and they have a reward model that traces all these generations and only keeps the best one.[00:15:52] Speaker: And this is like arbitrage and finance. So well, I think what's interesting in this, it shows that like synthetic data, it doesn't have to come from a single model. [00:16:00] And because we have so many good models now, you could like pull these models together and get like a dataset that's really high quality and that's diverse and that's covers all your needs.[00:16:12] Speaker: I was supposed to put a meme there, but. Yeah, so that was it for like a synthetic data.[00:16:17] Smol Models[00:16:17] Speaker: Now we can go to see what's happening in the small models field in 2024. I don't know if you know, but like now we have some really good small models. For example, Lama 3. 2 1B is. It matches Lama 2. 13b from, that was released last year on the LMSYS arena, which is basically the default go to leaderboard for evaluating models using human evaluation.[00:16:39] Speaker: And as you can see here, the scores of the models are really close. So I think we've made like hugely forward in terms of small models. Of course, that's one, just one data point, but there's more. For example, if you look at this chart from the Quint 2. 5 blog post, it shows that today we have some really good models that are only like 3 billion parameters [00:17:00] and 4 billion that score really high on MMLU.[00:17:03] Speaker: Which is a really popular benchmark for evaluating models. And you can see here that the red, the blue dots have more than 65 on MMLU. And the grey ones have less. And for example, Llama33b had less. So now we have a 3b model that outperforms a 33b model that was released earlier. So I think now people are starting to realize that like, we shouldn't just scale and scale models, but we should try to make them more efficient.[00:17:33] Speaker: I don't know if you knew, but you can also chat with a 3B plus model on your iPhone. For example, here, this is an app called PocketPal, where you can go and select a model from Hugging Face. It has a large choice. For example, here we loaded the 5. 3. 5, which is 3. 8 billion parameters on this iPhone. And we can chat with this and you can see that even the latency is also acceptable.[00:17:57] Speaker: For example, here, I asked it to give me a joke about [00:18:00] NeurIPS. So let's see what it has to say.[00:18:06] Speaker: Okay, why did the neural network attend NeurIPS? Because it heard there would be a lot of layers and fun and it wanted to train its sense of humor. So not very funny, but at least it can run on device. Yeah, so I think now we have good small models, but we also have like good frameworks and tools to use these small models.[00:18:24] On Device Models[00:18:24] Speaker: So I think we're really close to having like really on edge and on device models that are really good. And I think for a while we've had this narrative. But just training larger models is better. Of course, this is supported by science scaling laws. As you can see here, for example, when we scale the model size, the loss is lower and obviously you get a better model.[00:18:46] Speaker: But and we can see this, for example, in the GPT family of models, how we went from just a hundred million parameters to more than a trillion. parameters. And of course, we all observed the performance improvement when using the latest model. But [00:19:00] one thing that we shouldn't forget is that when we scale the model, we also scale the inference costs and time.[00:19:05] Speaker: And so the largest models were are going to cost so much more. So I think now instead of just building larger models, we should be focusing on building more efficient models. It's no longer a race for the largest models since these models are really expensive to run and they require like a really good infrastructure to do that and they cannot run on, for example, consumer hardware.[00:19:27] Speaker: And when you try to build more efficient models that match larger models, that's when you can really unlock some really interesting on device use cases. And I think a trend that we're noticing now is the trend of training smaller models longer. For example, if you compare how much, how long LLAMA was trained compared to LLAMA3, there is a huge increase in the pre training length.[00:19:50] Speaker: LLAMA was trained on 1 trillion tokens, but LLAMA3 8b was trained on 15 trillion tokens. So Meta managed to get a model that's the same size, but But it performs so much [00:20:00] better by choosing to like spend the sacrifice during training, because as we know, training is a one time cost, but inference is something that's ongoing.[00:20:08] Speaker: If we want to see what are like the small models reads in 2024, I think this mobile LLM paper by Meta is interesting. They try to study different models that are like have the less than 1 billion parameters and find which architecture makes most sense for these models. For example, they find that depth is more important than width.[00:20:29] Speaker: So it's more important to have models that have like more layers than just one. making them more wide. They also find that GQA helps, that tying the embedding helps. So I think it's a nice study overall for models that are just a few hundred million parameters. There's also the Apple intelligence tech report, which is interesting.[00:20:48] Speaker: So for Apple intelligence, they had two models, one that was like on server and another model that was on device. It had 3 billion parameters. And I think the interesting part is that they trained this model using [00:21:00] pruning. And then distillation. And for example, they have this table where they show that, like, using pruning and distillation works much better than training from scratch.[00:21:08] Speaker: And they also have some interesting insights about, like, how they specialize their models on specific tasks, like, for example, summarization and rewriting. There's also this paper by NVIDIA that was released recently. I think you've already had a talk about, like, hybrid models that was all interesting.[00:21:23] Speaker: And this model, they used, like, a hybrid architecture between state space models and transformers. And they managed to train a 1B model that's really performant without needing to train it on a lot of tokens. And regarding our work, we just recently released SmallM2, so it's a series of three models, which are the best in class in each model size.[00:21:46] Speaker: For example, our 1. 7b model outperforms Lama 1b and also Qt 2. 5. And how we managed to train this model is the following. That's where you spent a lot of time trying to curate the pre training datasets. We did a lot of [00:22:00] ablations, trying to find which datasets are good and also how to mix them. We also created some new math and code datasets that we're releasing soon.[00:22:08] Speaker: But you basically really spent a lot of time trying to find what's the best mixture that you can train these models on. And then we spent some time trying to like we also trained these models for very long. For example, small M1 was trained only on 1 trillion tokens, but this model is trained on 11 trillion tokens.[00:22:24] Speaker: And we saw that the performance kept improving. The models didn't really plateau mid training, which I think is really interesting. It shows that you can train such small models for very long and keep getting performance gains. What's interesting about SmallLM2 is that it's fully open. We also released, like the pre training code base, the fine tuning code, the datasets, and also evaluation in this repository.[00:22:45] Smol Vision Models[00:22:45] Speaker: Also there's, like, really interesting small models for text, but also for vision. For example, here you can see SmallVLM, which is a 2B model that's really efficient. It doesn't consume a lot of RAM, and it also has a good performance. There's also Moondream 0. [00:23:00] 5b, which was released recently. It's like the smallest visual language model.[00:23:04] Speaker: And as you can see, there isn't like a big trade off compared to Moondream 2b. So now I showed you that we have some really good small models. We also have the tools to use them, but why should you consider using small models and when? I think, like, small models are really interesting because of the on device feature.[00:23:23] Speaker: Because these models are small and they can run fast, you can basically run them on your laptop, but also on your mobile phone. And this means that your dataset stays locally. You don't have to send your queries to third parties. And this really enhances privacy. That was, for example, one of the big selling points for Apple Intelligence.[00:23:42] Speaker: Also, right now, we really have a lot of work to do. So many frameworks to do on device inference. For example, there's MLX, MLC, Llama, CPP, Transformers, JS. So we have a lot of options and each of them have like great features. So you have so many options for doing that. Small models are also really powerful if you choose to specialize them.[00:24:00][00:24:00] Speaker: For example, here there's a startup called Numind, which took small LM and then they fine tuned it on text extraction datasets. And they managed to get a model that's not very far from models that are much larger. So I think text extraction is like one use case where small models can be really performant and it makes sense to use them instead of just using larger models.[00:24:19] Speaker: You can also chat with these models in browser. For example, here, you can go there, you can load the model, you can even turn off your internet and just start chatting with the model locally. Speaking of text extraction, if you don't want to fine tune the models, there's a really good method of structure generation.[00:24:36] Speaker: We can basically force the models to follow a JSON schema that you defined. For example, here, we try to force the model to follow a schema for extracting key information from GitHub issues. So you can input free text, which is a complaint about a GitHub repository, something not working. And then you can run it there and the model can extract anything that is relevant for your GitHub issue creation.[00:24:58] Speaker: For example, the [00:25:00] priority, for example, here, priority is high, the type of the issue bug, and then a title and the estimation of how long this will take to fix. And you can just like do this in the browser, you can transform your text into a GitHub issue that's properly formatted.[00:25:14] What's Next[00:25:14] Speaker: So what's next for synthetic data and small models?[00:25:18] Speaker: I think that domain specific synthetic data is going to be, it's already important, it's going to be even more important. For example, generating synthetic data for math. I think this really would help improve the reasoning of a lot of models. And a lot of people are doing it, for example, Quint 2. 12 math, everyone's trying to reproduce a one.[00:25:37] Speaker: And so I think for synthetic data, trying to specialize it on some domains is going to be really important. And then for small models, I think specializing them through fine tuning, it's also going to be really important because I think a lot of companies are just trying to use these large models because they are better.[00:25:53] Speaker: But on some tasks, I think you can already get decent performance with small models. So you don't need to Pay like a [00:26:00] cost that's much larger just to make your model better at your task by a few percent. And this is not just for text. And I think it also applies for other modalities like vision and audio.[00:26:11] Speaker: And I think you should also watch out for on device frameworks and applications. For example, like the app I showed, or lama, all these frameworks are becoming really popular and I'm pretty sure that we're gonna get like more of them in 2025. And users really like that. Maybe for other, I should also say hot take.[00:26:28] Speaker: I think that like in AI, we just started like with fine tuning, for example, trying to make BERT work on some specific use cases, and really struggling to do that. And then we had some models that are much larger. So we just switched to like prompt engineering to get the models And I think we're going back to fine tuning where we realize these models are really costly.[00:26:47] Speaker: It's better to use just a small model or try to specialize it. So I think it's a little bit of a cycle and we're going to start to see like more fine tuning and less of just like a prompt engineering the models. So that was my talk. Thank you for following. And if you have [00:27:00] any questions, we can take them now. Get full access to Latent Space at www.latent.space/subscribe

Intéressé.e par notre formation Yaniro Leadership Program ? Prenez rendez-vous avec Yasmine ici !Voulez-vous former les managers avec la méthode do it yourself ? Obtenez toutes les ressources ici !Résumé de l'article

Intéressé.e par notre formation Yaniro Leadership Program ? Prenez rendez-vous avec Yasmine ici !Voulez-vous former les managers avec la méthode do it yourself ? Obtenez toutes les ressources ici !Découvrez un extrait du podcast de Yaniro avec comme invité Loubna Tigroussine qui est juriste spécialisée en droit du travail et RH.

Our guest today is Loubna Ben Allal, Machine Learning Engineer at Hugging Face

It's one year since the start of the most recent wave of Israel's US-backed genocide of Palestinians. This episode was recorded last fall with Loubna Qutami (co-founder of the Palestinian Youth Movement and a member of the Palestinian Feminist Collective), and one of her mentors, and ours, Dylan Rodriguez (co-founder of Critical Resistance and the Critical Ethnic Studies Association).  Both organizers and professors, Loubna (UCLA) and Dylan (UC Riverside) discuss Zionist repression, and why we must continue to fight it.   >> LISTEN TO ALL 14 OF OUR PALESTINE EPISODES FROM THE PAST YEAR HERE.

Loubna, coach en santé, aide ses clientes à atteindre une vie saine et sereine. Avec un parcours très scolaire, Loubna est docteur en pharmacie de profession. Elle a exercé pendant sept ans en pharmacie, mais la pandémie de COVID-19 et l'augmentation des tâches l'ont poussée à démissionner. Elle sentait qu'elle s'éloignait de sa véritable vocation : parler et conseiller ses clients.C'est en découvrant un challenge qu'elle a trouvé son inspiration. À partir de là, tout s'est enchaîné : Loubna a conçu son idée de business, trouvé ses premiers clients et des bêta-testeurs pour tester ses services. Dans ce podcast, Loubna partage son parcours avec sincérité. Elle nous parle de ses moments de révélation, de ses peurs, de ses désirs, de sa vision pour l'avenir et de ses objectifs.Pour la retrouver sur instagram : clique iciHébergé par Ausha. Visitez ausha.co/politique-de-confidentialite pour plus d'informations.

Loubna Mouisset⁠, une experte en marketing et communication, a travaillé pendant une longue période dans la publicité et à un moment donné a décidé de créer sa propre entreprise en tant que consultante et formatrice. Dans cet épisode, elle partage avec nous son parcours professionnel, ainsi que ses points de vue sur de nombreux sujets, y compris l'avenir des emplois salariés et sa définition du succès. Loubna anime des ateliers et dispense des formations pratiques sur la gestion de la communication et le développement des affaires, s'adressant à une variété de participants intéressés par ces sujets. Join us for more inspirational content on: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Instagram⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠LinkedIn ⁠⁠⁠⁠⁠⁠ --- Send in a voice message: https://podcasters.spotify.com/pod/show/sara-zri/message

« Pour nous, c'était évident que ces Mamas avaient leur place dans la gastronomie »Direction les locaux de Meet My Mama à Paris pour discuter avec Loubna Ksibi. Elle est la co-fondatrice de Meet My Mama avec Donia Amamra et Youssef Oudahman, un traiteur engagé. Meet My Mama c'est aussi une école de formation culinaire et une association qui donne aux femmes « le pouvoir d'avoir du pouvoir ». À Paris ou à Marseille, l'entreprise a accompagné plus de 200 Mamas, conquis plus de 1500 entreprises clientes, et couvert plus de 3 000 événements.Leur mission ? Révéler les talents culinaires des Mamas des 4 coins du monde, de tout âge et de tout milieu social, animées par une même passion, la cuisine pour les aider à vivre de leur savoir-faire.

Loubna Mouisset, une experte en marketing et communication, a travaillé pendant une longue période dans la publicité et à un moment donné a décidé de créer sa propre entreprise en tant que consultante et formatrice. Dans cet épisode, elle partage avec nous son parcours professionnel, ainsi que ses points de vue sur de nombreux sujets, y compris l'avenir des emplois salariés et sa définition du succès. Loubna anime des ateliers et dispense des formations pratiques sur la gestion de la communication et le développement des affaires, s'adressant à une variété de participants intéressés par ces sujets. Join us for more inspirational content on: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Instagram⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠LinkedIn ⁠⁠⁠⁠⁠ --- Send in a voice message: https://podcasters.spotify.com/pod/show/sara-zri/message

Loubna Jaouhari is a well-known Moroccan stand-up comedian and social media influencer. Jaouhari is well-known for sharing videos of her comic personality and daily life on her official social media channels. #hikmatwehbi#LoubnaJaouhari#loubnaeljr #لبنى_الجوهري#podcast #arabicpodcast#hikmatwehbipodcast #wstudiodxb حكمت_وهبي# حكمت_وهبي_بودكاست# بودكاست#

Gaslighting and double-standards are all over the media and at schools, where Zionists often get put on pedestals, while pro-Palestinian voices get silenced. A discussion of how censorship works on and off college campuses, featuring: Dylan Rodriguez, co-founder of Critical Resistance and the Critical Ethnic Studies Association, and professor of Media and Cultural Studies at UC Riverside Loubna Qutami, co-founder of the Palestinian Feminist Collective and the Palestinian Youth Movement, and assistant professor in Asian American Studies at UCLA Shownotes: Palestine Legal: 'Distorted Definition: Redefining Antisemitism to Silence Advocacy for Palestinian Rights'  'Professor 'un-hiring' fuels battle for academic freedom' (Toshio Meronek, Waging Nonviolence) 'Students fight smears as universities back Israel's genocidal attacks' (Nora Barrows-Friedman, Electronic Intifada) A Communique on Sabotaging Zionist Infrastructure: Shutting Down Friends of the IDF (IndyBay) 'The Lobby' (Al Jazeera documentary on the Israel lobby, featuring UC Davis) Dylan on Instagram | Twitter | YouTube Loubna on Academia.edu | Twitter  Past episodes on Palestine: Queers for a Free Palestine with Kate Raphael; the Antizionist Boycott of Manny's with Deeg Support Sad Francisco and find links to our past episodes on Patreon.  If you are in the Bay this weekend: THIS SATURDAY, 12/2/23 Palestine solidarity action c/o QUIT! and Gay Shame, 1 p.m. at Market and Castro THIS SUNDAY, 12/3/23  Howard Zinn Book Fair    

D'origine marocaine, Loubna Azghoud est née à Bruxelles. D'abord, elle opte pour des études d'infirmière car elle souhaite faire du bien être des autres un métier. Ensuite, Elle travaille plusieurs années en tant que coordinatrice d'études cliniques internationales. Loubna se lance dans un Master en sciences politiques économiques et sociales puis s'engage dans un parti politique et entame sa première élection municipale en 2012 auprès de la Vice- Première Ministre et Ministre de l'Intérieur Joëlle Milquet. A la fin de ses études, elle intègre le Cabinet de la Ministre de l'Economie et de l'Emploi Bruxelloise Céline Fremault. En 2013, Loubna est désignée Chef de Cabinet Adjoint de la Vice- Première Ministre, Ministre de l'Intérieur Joëlle Milquet. Aujourd'hui, Loubna accompagne la Ministre Joelle Milquet dans ses nouvelles fonctions de Vice- Présidente de la Fédération Wallonie Bruxelles, Ministre de l'Education et de la Culture. Loubna est Conseillère de la Ministre en Politique Générale mais aussi Expert en Santé, Culture et Enfance. https://www.linkedin.com/in/loubna-azghoud-buildabetterworld/ ------------------------------------- Je suis Mélika Badreddine, Créatrice du concept Habits & Mindset Hunter et de l'Instagram @astucesdecoach qui donne des conseils sur la mise en place des habitudes gagnantes, je suis coach professionnelle certifiée et thérapeute spécialisée dans le lien maladie, douleur chronique et trauma. Ma mission est d'accompagner patients et abonnés pour informer et former sur les habitudes qui permettent d'être mieux dans ses baskets et bien dans sa vie de manière durable.  Mon expertise permet d'identifier les traumas et les surmonter. De cerner ce qui plombe le quotidien pour mieux se connaître et adopter les meilleures habitudes qui nous correspondent  ******************  Pour suivre toutes mes actualités du podcast abonnez vous à Habits and Mindset Hunter ************************* Rejoignez nous sur notre Instagram : @astucesdecoach Rejoignez nous sur notre mail : ondom.presse@gmail.com  ******************  Comment aider Melika Badreddine *************************

On this episode, host Sima Vasa is joined by Dr. Loubna Bouarfa, CEO and Founder of OKRA.ai and Member of the Board of Advisors of the Oxford Internet Institute, who shares her unique perspective on the ethical questions around the increasing capabilities of AI technology. Sima and Dr. Bouarfa discuss the following: - How different business models can leverage new technologies to either improve or harm society. - Why transparency in AI development and implementation is essential to maintaining consumer protections. - How aligning the incentives of regulatory bodies and technology developers can create natural safeguards against harmful business models.  - The neutral nature of technology and the potential it holds for both positive and negative implementation. Dr. Bouarfa's work puts her on the frontier of technological development and gives her a unique insight into the future of data acquisition and consumer privacy as new AI tools are rolled out. - OKRA.ai - Oxford Internet Institute - Sima Vasa - Infinity Squared - Infinity Squared - LinkedIn Thanks for listening to the Data Gurus podcast, brought to you by Infinity Squared. If you enjoyed this episode, please leave a 5-star review to help get the word out about the show, and be sure to subscribe so you never miss another insightful conversation. #Analytics #MA #Data #Strategy #Innovation #Acquisitions

In this captivating episode of "Love's Madness," join me Nabil as I explores the timeless and tragic tale of Qays and Layla. From the depths of their forbidden love to their heart-wrenching demise, I delve into the captivating world of romance, poetry, and madness. Witness the power of love as it transcends borders, leaving an indelible mark on global literature. Be prepared for an emotional rollercoaster as we journey through the depths of passion, rejection, and the enduring legacy of these star-crossed lovers. This episode also offers a glimpse into the remarkable story of Qays the mad lover of Loubna and the poetic journey of Tawba and Layla Al Akhliya. Join me as I unravel the threads of love's tapestry, painted with humor, complexity, and a touch of the unexpected. Get ready to be captivated by "Love's Madness: Tales of Qays and Layla part 1 --- Support this podcast: https://podcasters.spotify.com/pod/show/tflsif/support

Liens du podcast : https://linktr.ee/muslim_makers ---------   Dans cet épisode de Muslim Makers, nous accueillons Loubna Tigroussine, entrepreneure et juriste. Loubna nous dévoile son parcours, et les raisons qui l'ont poussées à se mettre à son compte, en particulier pour aider les salariés en poste qui rencontrent de difficultés en entreprise. Découvrez la suite en écoutant l'épisode !   --------- Conseils lecture : Cessez d'être gentil soyez vrai : Être avec les autres en restant soi-même, Thomas D'Ansembourg Pour suivre/joindre Loubna : LinkedIn --------- Pour me contacter :  abdelrahmen@muslim-makers.com LinkedIn Facebook

When a leader fails to see the individual superpower of their team members, they resort to creating a culture of superficial compliance, where nobody shines and everyone only finishes their tasks for the sake of accomplishing them. For an organization to be able to offer a truly fulfilling experience, leaders must dedicate themselves to building a culture of brilliance. Global keynote speaker and leadership scholar Dr. Loubna Noureddin is on a mission to help senior leaders design such a culture, where everyone has a chance to prove their worth and showcase their strengths. Joining Alicia Couri, she explains how she gives valuable advice to those at the top of the team, helping them appreciate the individual strengths of their members, transform their self-image, and create a healthier workplace culture. Dr. Loubna also shares leadership strategies for increasing team productivity and bringing humanity to every level of an organization.Love the show? Subscribe, rate, review, and share!Here's How »Join the Leading With Audacious Community today:https://aliciacouri.com/Google PlusTwitterInstagramFacebook

Avec les épisodes tips, je vulgarise en quelques minutes les étapes clés du lancement d'un projet à impact et je donne quelques conseils !

السلام عليكم… في هذي الحلقة معايا لبنى هدرنا على التجربة تعنا في صناعة المحتوى و الصعوبات لي يجو معاهم و بزاف صوالح مع بزاف ضحك.. هذي الحلقة قديمة سما بزاف أفكارنا تبدلو بصح قلت معليش ننشرها باش الناس تستفاد و تستمتع بها. Loubna's Instagram Episode Available on YouTube

As salâmu alaykum ! Bienvenue dans le podcast Sakina Seekers, pour ceux qui aspirent à la tranquillité du cœur..  Dans cet épisode, nous serons en compagnie de Loubna, qui ouvrira la série de podcast intitulée "Porter Sa Parole". Chaque épisode sera consacré au parcours d'un apprenant ou apprenante du Qur'ân, afin d'en être inspiré, motivé, et que chacun puisse se demander "Pourquoi pas moi?" . A l'occasion de l'arrivée de notre cher mois de Ramadân, mois du Qur'ân, nous espérons que l'écoute de ces parcours aura l'effet escompté.

Quote: “I think it is the responsibility of every executive in the organization to make a clear commitment to elevate and eliminate toxic behaviours in the organization.” Dr. Loubna Noureddin We have all experienced so much change in the last few years due to the pandemic. We have been in a fairly constant state of flux and have had to learn how to adapt pretty quickly to whatever was happening at the time. Now that many have or are moving toward returning to work in person, we're again in that state of change. On this episode of Authentic Living with Roxanne, we're thrilled to welcome Dr. Loubna Noureddin to share her unique perspective on change and offer tips on how leaders can make it less stressful and transition more successfully when necessary. This was such a great interview packed with so much inspirational information that we decided to turn it into a 2-part series. Here's the link to Part 1: https://roxannederhodge.com/doing-change-right-and-the-ror-with-dr-loubna-noureddin/ Loubna is a leadership scholar, orphans advocate, civil war survivor, and co-founder of Mind Market Consultants, a resource and coaching centre for organizations and start-ups prioritizing cultures of brilliance over systems of unnecessary change and chaos. Loubna's expertise as an executive coach and Leadership scholar has positioned her as a value-added resource for leaders in today's unpredictable business environment. Her extensive career of 20+ years has been dedicated to posturing leaders and teams for success through complex change. As a thought leader in the learning and industry, Loubna has extensive experience coaching teams and groups, from boards to C-Suite executives and their teams. Authentic Touch Points: Finding the balance between virtual and in-person. 2:00 Seeking loyal companies. 6:00 Excellent change management is key. 9:00 Leaders need to be intentional. 14:00 Executive coaching tips. 19:00 Loubna brings a diverse international experience and is known for her work with Harvard ManageMentor to design customized leadership development programs. Her passion for leadership and culture development has positioned her training programs at the Top 10 by Training Magazine, the Association for Talent Development, and American Healthcare Association. She has provided sensitivity and empathy training for leaders and teams with proven outcomes. She partners with leaders to problem solve, get to the root cause, and identify solutions that are practical, measurable, and sustainable. As I offer executive coaching, I encourage leaders to reach out for guidance about presenting their authentic selves to develop an improved workplace for everyone with less conflict. I welcome you to book a complimentary discovery call: https://roxannederhodge.com/chat/ and take our online quiz to rate your authenticity as a leader: https://roxannederhodge.com/quiz  Stay Authentic, Roxanne Links: Loubna's website: https://mindmarket.org   Loubna's email: loubna@mindmarket.org Loubna's LinkedIn profile: https://www.linkedin.com/in/lnoureddin/ Articles by Loubna: https://mindmarket.org/mind-market-articles-advice-insights/ Roxanne's LinkedIn profile: https://www.linkedin.com/in/roxannederhodge/ Roxanne's email: roxanne@roxannederhodge.com 

Quote: “We cannot continue to force change through a firehose; people are choking. It is truly time to stop and consider what specifically do we want to change and what is the priority?” Dr. Loubna Noureddin  We have all experienced so much change in the last few years due to the pandemic. We have been in a fairly constant state of flux and have had to learn how to adapt pretty quickly to whatever was happening at the time. Now that many have or are moving toward returning to work in person, we're again in that state of change. On this episode of Authentic Living with Roxanne, we're thrilled to welcome Dr. Loubna Noureddin to share her unique perspective on change and offer tips on how leaders can make it less stressful and transition more successfully when necessary. This was such a great interview packed with so much interesting information about workplace conflict that we decided to turn it into a 2-part series. Be sure to tune in again next week for part II. Loubna is a leadership scholar, orphans advocate, civil war survivor, and co-founder of Mind Market Consultants, a resource and coaching centre for organizations and start-ups prioritizing cultures of brilliance over systems of unnecessary change and chaos. Loubna's expertise as an executive coach and Leadership scholar has positioned her as a value-added resource for leaders in today's unpredictable business environment. Her extensive career of 20+ years has been dedicated to posturing leaders and teams for success through complex change. As a thought leader in the learning and industry, Loubna has extensive experience coaching teams and groups, from boards to C-Suite executives and their teams. Authentic Touch Points: Loubna's path to consulting. 1:30 The gaps in change initiatives. 5:00 Why don't companies prepare for change? 9:00 Return to in-person or stay virtual? 13:00 Finding balance. 17:00 Loubna brings a diverse international experience and is known for her work with Harvard ManageMentor to design customized leadership development programs. Her passion for leadership and culture development has positioned her training programs at the Top 10 by Training Magazine, the Association for Talent Development, and American Healthcare Association. She has provided sensitivity and empathy training for leaders and teams with proven outcomes. She partners with leaders to problem solve, get to the root cause, and identify solutions that are practical, measurable, and sustainable. As I offer executive coaching, I encourage leaders to reach out for guidance about presenting their authentic selves to develop an improved workplace for everyone with less conflict. I welcome you to book a complimentary discovery call: https://roxannederhodge.com/chat/ and take our online quiz to rate your authenticity as a leader: https://roxannederhodge.com/quiz  Stay Authentic, Roxanne Links: Loubna's website: https://mindmarket.org   Loubna's LinkedIn profile: https://www.linkedin.com/in/lnoureddin/ Articles by Loubna: https://mindmarket.org/mind-market-articles-advice-insights/ Roxanne's LinkedIn profile: https://www.linkedin.com/in/roxannederhodge/ Roxanne's email: roxanne@roxannederhodge.com 

Liens du podcast : https://linktr.ee/muslim_makers ---------   Loubna Reguig, présidente de l'EMF (Etudiants Musulmans de France), nous décrit le fonctionnement de l'association, leurs actions, et les problématiques auxquelles les étudiant(e)s musulman(e)s font fasse. Nous avons une longue discussion sur la situation des étudiant(e)s musulman(e)s et leur volonté grandissante de faire valoir leurs droits et d'assumer pleinement leurs valeurs. Bonne écoute :)   --------- Références : EMF Imam Omar Souleiman Conseils lecture : Renoue avec ton coeur, Yasmin Mogahed L'ego est l'ennemi: Maîtrisez votre plus grand adversaire, Ryan Holiday The productive Muslim  Allah aime... 30 moyens de gagner l'amour d'Allah, Omar souleiman Pour suivre/joindre Loubna : LinkedIn --------- Pour me contacter :  abdelrahmen@muslim-makers.com LinkedIn Facebook

Dans cet épisode #13, nous partageons une conversation inattendue avec la jeune entrepreneuse Loubna Ksibi.  Elle fait rimer économie avec inclusion et durabilité et conquiert ses nombreux clients avec son cœur. Loubna Ksibi est la co fondatrice de la start up Meet My Mama, un service de traiteur qui révèle et développe les talents de 200 mamas cuisinières migrantes ou réfugiées venues du monde entier. 12e du classement des Jeunes leaders positifs, responsables et inspirants de Positive Planet, Loubna multiplie les distinctions et embarque les clients les plus prestigieux avec beaucoup d'amour. Elle nous partage avec émotion ce qui l'enthousiasme et l'inquiète et comment elle vit cette double mission de dirigeante et incubatrice.    

Mister Kindness podcast 51Joining us from Verbier, Switzerland is endurance athlete and mental coach Loubna Freih. Despite not being sporty as a kid she did her first half marathon in her mid thirties after having two children. She's gone on to become a serious endurance athlete and was invited to Hawaii recently to do the Ironman Triathlon World Championship. You need to WIN an Ironman to be invited. She came 10th in her category. Did I mention she's 55 years old? Remarkable lady with great tips and advice on improving fitness and performance. Enjoy...Follow her exploits on Instagram https://www.instagram.com/mountaingoat_1936/ Follow us on Instagram https://www.instagram.com/misterkindness_podSubscribe on YouTube https://www.youtube.com/channel/UCg8snrvTqs8_AjgIq_sIsMgMis ter Kindness on Facebook https://www.facebook.com/njohn.kindness.9on#ironman #ironmantriathlon #ironmankona22 #athlete #enduranceathlete #endurance #patrouilledesglaciers #tourdesstations #switzerland #verbier #mentalcoach Low No Drinker Magazine PodcastMeeting the people & brands leading the low-&-no-alcohol revolution!Listen on: Apple Podcasts Spotify

“Dès le lancement, on se disait déjà qu'on voulait aider des millions de femmes partout dans le monde” A 23 ans, Loubna refuse un CDI dans un grand groupe pour lancer un projet qui va révolutionner l'industrie traiteur. Comme Donia et Youssef, ses associés, elle est marquée par les histoires des femmes de son entourage, issues de l'immigration, qui rencontrent de nombreux freins d'insertion malgré leurs talents et leurs compétences notamment pour la cuisine ! Ils réfléchissent alors à une solution qui pourrait permettre à ses femmes de vivre durablement de leur passion pour l'art culinaire et créent Meet My Mama. A la fois école de formation et traiteur, Meet My Mama est aujourd'hui un acteur référent dans l'industrie traiteur avec 30 Mamas cheffes qui démocratisent la cuisine de leurs pays, des milliers de clients régalés mais surtout une vraie solution d'inclusion. Avec Loubna, on est revenus sur son parcours de la Lorraine à Paris en passant par le Bahreïn et San Francisco, sur le fait d'entreprendre avec des associés et enfin de se laisser guider par les opportunités qui se présentent. Hébergé par Ausha. Visitez ausha.co/politique-de-confidentialite pour plus d'informations.

Loubna vient de rencontrer un homme. Il est séparé depuis 4 ans mais n'a pas divorcé. En réfléchissant au statut marital de cet homme qui lui plaît, Loubna a peur que l'ombre de son ex pèse sur leur relation future.

Today's show is sponsored by Alpha Collective, a premium community that helps corporates and degens partner and win at the business of Web3. Alpha Collective is now minting and you can purchase your “First Customer” membership pass – only 100 available - at alphacollective.xyz for $2500 via Fiat or Crypto. For under $50/month, you can access 52 Alpha Talks delivered by 52 incredible Alpha Talk speakers over 52 consecutive weeks…and much, much more. -------------------------------------------------------------------- Don't be fooled by her modest attire, this giraffe is no wallflower. Besides being a regular viewer of the show (you should be familiar with her name popping up from time to time), I've come to know Loubna as an incredibly insightful, deep and profound thinker. These days, she's all about FLOW…she even has her own creator coin with the same name. Today at 1pm EST, we'll discuss Flow, $FLOW and creating your own future. You can also win a GiraffeNFT this week and to do that you'll need to jump through a few fiery hoops that are only mildly dangerous: - To enter, you need to hold 10 $JAFFE coin (buy yours at rally.io/creator/JAFFE) - Join my discord (bit.ly/notfamousdiscord) - Verify yourself by typing /join in the #bot-commands channel - You'll need to link your rally.io account to discord - This will open up the show channels an in particular, assign you the “FAN” role (for holding a minimum of 10 $JAFFE coin) - Now you'll need to subscribe to the show on YouTube (bit.ly/subscribetotheshow) and paste your YT username into the #giveaways channel in my discord If that all sounds complicated, it's because it is. Web3 is complicated, but there is some light at the end of the tunnel. You're now entered in perpetuity to win any NFT's in future giveaways as long as you continue to hold 10 $JAFFE coin. PLUS you are eligible to get free $JAFFE coin every episode. Join us! Watch full episodes at youtube.com/c/josephjaffeisnotfamous. Subscribe at bit.ly/subscribetotheshow Join my discord at bit.ly/notfamousdiscord and type /join in botcommands channel to get your roles based on holding $JAFFE coin (www.rally.io/creator/JAFFE) Hold 1 $JAFFE to become a “regular.” You'll gain access to all the show channels, including calendar of upcoming guests, bios, access to pre-tapings, aftershows, the ability to ask question to upcoming guests and more Hold 10 $JAFFE for the “fan” role and free $JAFFE every day on the show as well as get a neverending entry into weekly NFT raffles (until you win!) Hold 25 $JAFFE to get the “insider” role and access to my daily shownotes and episode summaries (including video) Hold 50 $JAFFE and get the “VIP” role. You now have backstages passes to hang with me and my guest before a show Hold 100 $JAFFE and get the “superfan” role. You'll join me for monthly calls to discuss the show (past, present, future roadmaps) and how it can benefit you as a creator, communicator or corporate citizen. You'll also have opportunities to recommend guests and come on the show to ask them a question LIVE. Learn more about your ad choices. Visit megaphone.fm/adchoices

Cette semaine, je suis ravie de partager ma conversation avec Donia Souad Amamra.     Donia est la co-fondatrice de Meet My Mama - à la fois un traiteur engagé et une école de formation ayant pour mission de révéler les talents culinaires de femmes passionnées par la cuisine.  L'aventure Meet My Mama a débuté à deux et représente aujourd'hui 24 salariés en CDI, 200 mamas et plus de 1200 heures de formations.  Dans cet épisode, Donia revient sur son enfance en banlieue parisienne et ses vacances de l'autre côté de la méditerranée en Algérie. Bercées par les films et séries américaines, elle se met très tôt à rêver de ce monde où les grands campus universitaires, gratte ciels et working girls semblent si fascinants.  Donia évoque son parcours scolaire, notamment le programme d'égalité des chances de l'Essec, intégré en seconde, qui a changé sa vie en lui faisant découvrir des possibilités jusque-là inimaginables. Après le baccalauréat elle intègre Science Po, tremplin vers une année d'échange aux Etats Unis. Durant ces douze mois elle suit des cours qui vont marquer le début de sa prise de conscience et la convaincre qu'engagement et métier peuvent se marier.   Donia nous raconte sa rencontre avec Loubna et les débuts de Meet My Mama.  Elle relate également la réaction de ses proches lorsqu'elle leur annonce que malgré son diplôme de Sciences Po et un CDI dans un cabinet de conseil elle privilégie un projet entrepreneurial : la cuisine pour aider les femmes.  Nous avons aussi discuté de l'entreprenariat en général, du cercle vertueux que constitue le gain d'argent pour pouvoir mener à bien une initiative de ce type et avoir un réel impact social.   Enfin nous sommes revenues sur certaines histoires très touchantes de mamas.  Sans plus attendre je laisse place à la HeyA du jour - Donia Souad Amamra.  Excellente écoute !  -----------------------------------------------------  Pour suivre Meet My Mama  Site web : https://www.meetmymama.com/  Instagram : https://www.instagram.com/meetmymama/?hl=fr  Pour suivre HeyA  Instagram : https://www.instagram.com/heya_podcast/  

EntrePods Special Guest: Dr. Loubna Erraji Episode 303 Dr. Loubna Erraji is an ICF-certified executive coach, adjunct faculty, management consultant, and neuroscientist, with more than 20 years of global experience encompassing research, teaching, consulting, advising, and coaching executives and entrepreneurs. Her clients are leaders at Fortune 500 companies in healthcare, financial services, technology, CPG, higher education, and more, working for the likes of UBS, IBM, Prudential, Deloitte, Merck, BMS, Mondelez, to name a few. Dr. Loubna Erraji: https://www.advancisconsulting.com/   Love what you're hearing? Check out the full episode:  https://www.entrepods.com/listen   

Cleanses and radical diets are focused entirely on the impact of detoxification on the physical body. But in Islam, the physical body is merely a vessel. It's the soul, and the exaltation of the mind that is paramount. Purifying the body, which is a large part of the practice of Ramadan, cannot happen without detoxing the mind. The latter journey is much harder. Mrs Loubna founder of @healthybyloubna and mom of @chefomarofficiel, helped us understand how to take the hardest journey. Ramadan Kareem to all of you Moroccan Mamas.-------------------------------------------------------------------------------------------------Les nettoyages et les régimes radicaux sont entièrement axés sur l'impact de la désintoxication sur le corps physique. Mais dans l'Islam, le corps physique n'est qu'un vaisseau. C'est l'âme et l'exaltation de l'esprit qui priment. Purifier le corps, qui est une grande partie de la pratique du Ramadan, ne peut se faire sans détoxifier l'esprit. Ce dernier voyage est beaucoup plus difficile. Mme Loubna fondatrice de @healthybyloubna et maman de @chefomarofficiel, nous a aidé à comprendre comment entreprendre le voyage le plus difficile. Ramadan Kareem à vous Mamas.-------------------------------------------------------------------------------------------------التطهير والوجبات الغذائية الصحية تركز بالكامل على تأثير إزالة السموم من الجسم . لكن الجسد في الإسلام هو مجرد وعاء. إن الروح وتمجيد العقل هو الأسمى. لا يمكن أن تتم تنقية الجسم ، وهي جزء كبير من ممارسة شهر رمضان ، دون إزالة السموم من العقل. الرحلة الأخيرة أصعب بكثير. ساعدتنا السيدة لبنى ، مؤسسة healthybyloubna@ وأم chefomarofficiel@ ،.على فهم كيفية القيام بأصعب رحلة. رمضان كريم لكم جميعا

When Loubna Ksibi’s aunt opened a restaurant, she didn’t know how to navigate the business side of it. Despite her talented cooking, the restaurant ultimately failed. Loubna realized there were no resources for women like her aunt, and became one of the founders of Meet My Mama, a culinary project in France. Today, Meet My Mama enables women from all over the world to make a living with their cooking skills, and has grown to include over 200 chefs. This podcast is by Expo Live, produced by Kerning Cultures Network.

تقدم هذه الحلقة حواراً بين أماني من مدينة واسط في العراق ولُبنى من مدينة طرابلس في ليبيا. فيصف كلاهما كيف وصمت الحروب حياتَيهما ودفعتهما للتساؤل حول ما إذا كان بلدَيهما في الواقع يستحقان هذه الحروب. لقد أصبحا أقوى وأكثر تمسكاً بطموحاتهما لخدمة مجتمعَيهما، واستطاعا أيضاً تحدي العنف لتوجيه المسار نحو السلام والإصلاح الإيجابي والتأثير فيه.Episode 4 | Lives marked by wars… and much stronger dreamsThis episode connects Anami from Wasset, Iraq with Loubna from Tripoli, Libya. They describe how wars marked their lives and pushed them to question whether their countries really deserve them. They both have come out stronger and committed to their aspirations to serve their communities and challenge violence in order to lead and influence the path to peace and positive reform.

Loubna Zarrou is a business strategist that blends solid business strategies with intuition. She is the founder of the Entrepreneur Sushi podcast, a certified public speaker and a multi-award-winning Strategic Dynamo who is globally recognized for her extraordinary skill of being able to mentor Entrepreneurs to gain clarity, focus and momentum with lightning speed. In this episode she shares how it was her intuition that led her to create her own business and the critical moment when she started to take her intuition seriously.

Join Rollie Allaire, Holistic Life & Wellness Coach, as she connects with Loubna Zarrou for this week's Chatting with Wisdom.   This week we will chat about, "How to Add More Joy and Ease to Your Business".   Loubna Zarrou is an international bestselling author, certified professional speaker and multi-award-winning Strategic Dynamo who is globally recognized for her extraordinary skill of being able to mentor Entrepreneurs to gain clarity, focus and momentum with lightning speed.   Before starting her business and becoming the CEO of The Exponential Hero, Loubna spent over 18 years managing projects both in IT as well as change management in the corporate sector. It was during these years that Loubna was able to hone and utilize her expertise in helping people enhance their happiness at work, as well as strategies for more success in the boardroom. Loubna has now been able to take this a step further with her unique and innovative approach to mentoring through her A.C.T.I.O.N. process and regularly speaks to her audience on the importance of strategy, planning and the science of happiness to increase their impact, influence and income.   Connect with Rollie: Website: https://rollieallaire.ca/ Facebook: https://www.facebook.com/BridgingtheGapWellness/ Instagram: https://www.instagram.com/rollie_allaire_coach/

Dr. Loubna Erraji is a Certified Executive Coach, a Career and Business Advisor to Executives & Entrepreneurs in career transition who want to get unstuck from their suffocating careers. Dr. Erraji is also an Adjunct Professor, Neuroscientist, and Management Consultant with 20 plus years of global experience. During her career, Loubna held corporate roles in sales, marketing, business development, and management consulting within the healthcare and pharmaceutical industry. She managed client projects, developed partnerships, and provided strategic advisory services to large and small organizations (C-Suite and senior executives, Fortune 500 companies, educational institutions, etc.). Loubna earned her doctorate degree in Molecular Biology and Pharmacology from Paris, an MBA in Pharmaceutical Management from Rutgers Business School, and did her post-doctorate training in Neuroscience and Genomics at Columbia University. Loubna is very passionate about guiding high achieving professionals to pursue successful careers, and coaching leaders to perform at their best. Being a career switcher and a high-achiever herself, Loubna is known to work best with other ambitious professionals who are committed to their success no matter what, and want to feel empowered to take their next steps with confidence. Loubna utilizes these assessment tools: Emotional Intelligence, Enneagram, MBTI, and the Neethling Brain InstrumentTM (NBI). She enjoys spending time with her two teenagers and her friends, loves meditation and ballroom dancing. Contact Info: Phone Number: 201.207.5235 Email: loubna@advancisconsulting.com Website: www.advancisconsulting.com Instagram: @advanciscoaching LinkedIn: https://www.linkedin.com/in/loubnaerraji2009/ 

Have you ever wondered what it took to be happy?  How some people happy no matter what is happening in their life?  Well, years ago, Loubna made the conscience choice to only do what made her happy. This included all aspects of her life, including her work. Once she made that commitment to her life, everything changed. Listen to how she shares her stories and tools so you can do the same.  Loubna is an international bestselling author, professional speaker  and strategic dynamo who is globally recognized for her extraordinary skills of helping others gain clarity, focus and momentum at lightening speed. www.angelevanger.com/meditationsinstagram: angelevangerfacebook group: Soulful Healing TribeLoubna face group: Loubnazarrouinstagram: loubnazarrouPodcast: Entrepreneur Sushi Club 

What actually is happiness and how can we cultivate and invoke it in our everyday lives? These are questions I asked Loubna Zarrou, an international bestselling author, certified professional speaker, and multi-award-winning Strategic Dynamo. Loubna mentors entrepreneurs and helps them gain clarity, focus, and momentum with lightning speed. Get access to transcript and resources at https://stepupandthrivepodcast.com/3 Please rate and review the podcast! Did you learn something new in this episode? What was the biggest revelation for you? Leave your review at https://stepupandthrivepodcast.com/iTunes

My guest Loubna Sabah, certified coach, specializes in career coaching, growth and development. In this episodes, Loubna and I talk about coaching, motivation, the meaning of luck and success and not only that but we shed light on how to build your goal to insure your growth. Loubna, shares valuable insight on personal and professional growth and if you want to venture off on your own to build a business, or change career paths but don't know how to take action? Listen to this podcast and get a dose of motivation and remember Here's Good News team is always ready to coach you to success! Hosted by Tarek Azmi founder of Here's Good News, a leadership and development company dedicated to your personal and professional growth, offering learning modules, coaching solutions and personal training. Like this podcast? Share and Subscribe to never miss a show, get in touch and receive a courtesy call to start building your dreams and achieving your goals and Here's Good News: You Can Make It!

“I believe too many professionals are not living up to their potential because they feel stuck, misunderstood and not supported in their ambition.” Loubna. After spending almost 18 years in consulting and later auditing IT, Loubna became a change-manager after a pivotal moment forced me to reevaluate her career. She has talked to many professionals not living up to their potential because they feel stuck, misunderstood and not supported in their ambitions. She is now on a mission to transition over 1 million emerging leaders to go from feeling stuck to authentically doing what they love. Based on her life experience and research into the science of happiness she have developed a model to help emerging leaders. Through workshops, courses, resources, and coaching, she combines your personality, passion, and purpose, enhancing your personal power to transform your position. You can contact her through: Her facebook page: https://www.facebook.com/loubnazarrouofficial. Or LinkedIn: https://www.linkedin.com/in/loubnazarrou. More comfortable with video? Sure! You can enjoy this episode here: https://youtu.be/ASmSLo9RNDg ** Wondering how to get more sales without more clients? Click here to get your free gift blueprint: YourSalesBlueprint This is where magical things happen: The Alkimia Success Show Would you like to watch the video? It's available here: How to get focus, clarity and momentum This episode is brought to you thanks to kajabi, the best platform to create the best courses and memberships in the world! Check it out here: https://bit.ly/DOKajabi