Life with AI

<p>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!</p> <p><br></p> <p>Instagram of the podcast...

<p>Hey guys, in this episode I talk about the new model of OpenAI, the OpenAI o1, the model that thinks and reflects before answering.</p> <p><br></p> <p>In the episode I share my opinion and my thoughts after the first...

<p>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.</p> <p><br></p> <p>As types of...

<p>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.</p> <p><br></p>...

Hey guys, in this episode I talk about the Llama 3 paper pre-training and post-training! Instagram of the podcast: https://www.instagram.com/podcast.lifewithai Linkedin of the podcast...

<p>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...

<p>Hey guys, in this episode I talk about how to choose the best model for your AI application. I discuss the different tradeoffs you should take into considering before choosing which model to test and to deploy.</p>...

<p>Hey guys, in this episode of the podcast I talk about Stable Diffusion, a famous open source image generation algorithm.</p> <p><br></p> <p>Instagram of the podcast: https://www.instagram.com/podcast.lifewithai</p>...

<p>Hey guys, in this episode I talk about diffusion models, the algorithm behind all the image generation models today, like stable diffusion, Midjourney and dall-e. In the episode I explain the diffusion process along...

<p>Hey guys, in this episode I talk about 3 very important models that use contrastive learning, CLIP, SigLIP and JinaCLIP. They are image-text embedding models that allow us to for instance do image-text retrieval.</p>...

<p>Hey guys, in this episode I talk about two very important technical concepts in Deep Learning, constrastive learning and cosine similarity. They are very useful when training embedding models or doing RAG.</p>...

<p>Hey guys, in this episode I talk about the FineWeb dataset, the best pre-training open source dataset to date. In the episode I explain how they created the dataset and I also share some results.</p> <p><br></p>...

<p>Fala galera, nesse episódio eu falo com o João Batista, Technical Product Manager da Stackspot AI. No episódio a gente falou bastante sobre o uso de LLMs como um copilot usando os próprios documentos da empresa para...

<p>Hey guys, in this episode I talk about two papers, BitNet and 1.58 bit Transformer. These two papers from microsoft tell a new receipe to train 1 bit transformers, improve hugely the memory and energy consumption...

<p>Extra episode about Llama 3.</p>