Hello everyone, in this episode I talk about GraphRAG. This new RAG technique is very useful to better retrieve global information from your document or set of documents. It's also a subject that is growing a lot!

GraphRAG paper: https://arxiv.org/pdf/2404.16130

LightRAG paper: https://arxiv.org/pdf/2410.05779

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Hello guys, in this episode of the podcast I talk about on-device AI and the SmolLM blog post published by Hugging Face.

I first give my thoughts on the differences between on-device and on-cluster AI with the different needs of applications we may have. Then I go through the SmolLM blog post explaining some of the details.

SmolLM blog post: https://huggingface.co/blog/smollm

MobileLLM paper: https://arxiv.org/pdf/2402.14905

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Hey guys, in the Brazilian version of the podcast I interviewed Felipe, CEO and Founder of Clarice AI, the Brazilian Grammarly.

In the episode we discussed on how they created both their corrector and their style improvement algorithms.

Clarice AI website: https://clarice.ai/

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Hey guys, in the brazilian version of the podcast I interviewed Hugo Abonizio, he is LLM engineer at Maritaca AI, the only brazilian LLM company that just released Sabia 3.

Their model is specialized in Portuguese and is between gpt4o and Claude 3.5 Sonnet, while being way smaller and cheaper. In the episode I try to give an idea of our conversation in the portuguese version of the podcast.

Sabia 3 paper: https://arxiv.org/pdf/2410.12049

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Hey guys, in this episode I try to explain my ideas on why Chain of Thought works. Of course nothing that I say is proved, the idea is really to give my intuitions on it!

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Hey guys, in this episode I talk about the new model of OpenAI, the OpenAI o1, the model that thinks and reflects before answering.

In the episode I share my opinion and my thoughts after the first contact with the model.

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Hey guys, in this episode I talk about the different types of AI. I don't go deep into the models, I focus more on explaining the different types and which kind of problems they solve.

As types of AI I talk about statistics, machine learning, reinforcement learning, deep learning and generative AI.

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Hey guys, this is the last episode of the Llama3 paper. In this episode, I talk about their discussion on the contamination analysis of the benchmarks, the vision and the speech parts of the model.

I hope you enjoyed the series of episodes about the paper, I personally learned a lot!

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Llama 3 paper: https://scontent-cdg4-3.xx.fbcdn.net/v/t39.2365-6/452387774_1036916434819166_4173978747091533306_n.pdf?_nc_cat=104&ccb=1-7&_nc_sid=3c67a6&_nc_ohc=t6egZJ8QdI4Q7kNvgEUMsBZ&_nc_ht=scontent-cdg4-3.xx&oh=00_AYBeifNn3pUDhDb136i_WQ_jpoYwLgNExZHcNvDV-N1rRA&oe=66A804CD

Hey guys, FINALLY we have Llama 3 paper, the release of the 405B model and the update of the 8B and 70B models. In this episode I give my thoughts about the paper and also an overview about it. In the next episode I will go more deeper in more details of the paper.

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Linkedin of the podcast: https://www.linkedin.com/company/life-with-ai

Llama 3 paper: https://scontent-cdg4-3.xx.fbcdn.net/v/t39.2365-6/452387774_1036916434819166_4173978747091533306_n.pdf?_nc_cat=104&ccb=1-7&_nc_sid=3c67a6&_nc_ohc=t6egZJ8QdI4Q7kNvgEUMsBZ&_nc_ht=scontent-cdg4-3.xx&oh=00_AYBeifNn3pUDhDb136i_WQ_jpoYwLgNExZHcNvDV-N1rRA&oe=66A804CD