All Episodes

#100- Enter: Building AI from Brazil.

#99- GraphRAG.

#98- On-device AI with SmolLM.

#97- Brazilian grammarly with Felipe from Clarice AI.

#96- Maritaca AI, the brazilian LLM company.

#95- Why Chain of Thought works?

#94- OpenAI o1

#93- Different types of AI.

#92- Llama3 benchmarks, vision and speech.

#91- Llama 3 training.

#90- Llama 3 paper overview.

#89- How to choose the best AI model for your application?

#88- Stable Diffusion.

#87- Diffusion models, the algorithm behind Midjourney, Dall-e and Stable Diffusion.

#86- CLIP, SigLIP and JinaCLIP.

#85- Constrastive learning and cosine similarity.

#84- FineWeb, the best dataset to pre-train LLMs.

#83- LLM copilot for enterprise.

#82- BitNet, 1 bit Transformers.

#81- Llama 3.

#80- Layer pruning and Mixture of Depths.

#79- LoRA and QLoRA.

#78- RAFT: Why just to use RAG if you can also fine tune?

#77- Ring Attention and 1M context window, is RAG dead?

#76- Solving problems using AI.

#75- Mixtral and Mixture of Experts.

#74- Named Entity Recognition and NLP with Sergei Bogdanov.

#73- Transformers.

#72- RAG and agents.

#71- AI for chat bots with Daniel from WeClever.

#70- Technical and behavioral interview tips!

#69 - Supervised and self-supervised learning, tokenization, ChatGPT and document intelligence.

#68- ChatGPT, how to better use it!

#67- GPT4 leaked information

#66 - Private label products, marketplace and OpenAI API with Juliemar from Amicci.

#65- AI and cloud in agriculture with Vinicius from MadeinWeb.

#64 - Fintechs and credit score with Rafael Lanna from Ewally.

#63 - Audio transcription, Generative AI and chatGPT with Krish from Fireflies.

#62- How to make an evidence-based search engine with Eric Olson from Consensus.

#61 - ChatGPT.

#60 - How to input text into your model? Understanding tokenizers.

#59 - How to better prospect clients on LinkedIn with Guillaume from Waalaxy.

#58 - Document intelligence at Qantev. Information extraction and table extraction.

#57 - The use of engines in chess with the blitz world champion MVL.

#56 - Artificial Intelligence for health insurance at Qantev with Hadrien De March.

#55 - Complex systems and multi-agent learning with Jean-Daniel Kant.

#54 - Document Intelligence, Multimodal learning and Venture Capital with Slater Victoroff.

#53 - The experience of living and studying abroad. Special episode with my best friends!

#52 - Is Deep Learning for everybody?

#51 - Gato, first steps into a General AI.

#50 - Understanding BERT.

#49 - Understanding Vision Transformers.

#48 - Attention is all you need. Understanding Transformers.

#47 - Active learning for anomaly detection. How to decrease the manual time annotating the data.

#46 - Google Multisearch and Multimodal Learning.

#45 - Information retrieval, NLP, Research and PhD advises with Laure Soulier.

#44 - Data2Vec, training one model with text, audio and image.

#43 - How AI will impact our lives in the future.

#42 - Bias and Ethics in datasets and AI algorithms.

#41 - How Artificial Intelligence is impacting our lives today.

#40 - No code Data Science. Building entire solutions without a single line of code.

#39 - How to make your Data Science project from scratch.

#38 - Artificial Intelligence dictionary. Understanding all the AI terms.

#37 - Reinforcement Learning.

#36 - What are Neural Networks? Are they really intelligent?

#35 - Research, startup and youtube with Shrinivasan Sankar.

#34 - Research, Generative Models, GANs and American Ninja Warrior with Asya Grechka.

#33 - The state of the art is self-supervised! How to pre train NLP and computer vision transformer architectures.

#32 - How to fool a neural network. Understanding adversarial attacks.

#31 - How to make autonomous vehicles drive in different places? Understanding domain adaptation and semi-supervised learning.

#30 - How Alexa talks to you? Speech to text and self-supervised with Miguel Agrizzi

#29 - Metaverse and Omniverse with Vinícius Bonemer.

#28 - Tips for getting your internship in France/Europe with Vinicius Akira.

#27 - Research in computer vision, transformers and autonomous driving with Matthieu Cord.

#26 - AI for energy efficiency and much more with Franco Marchesoni.

#25 - How is the experience of having a podcast.

#24 - Tips for training neural networks, data augmentation and self-supervised learning with Fernando Santos.

#23 - How to fed data into AI algorithms. Understanding categorical feature encoding and scaling/normalization.

#22 - Binary Neural Networks with Breno Skuk.

#21 - Algorithms for NLP and time series. Understanding RNN, GRU and LSTM.

#20 - Applications of RNNs in the real world.

#19 - Applications of GANs in the real world.

#18 - Applications of CNNs in the real world.

#17 - Artificial Intelligence in the financial market with Gabriel Oliva.

#16 - Financial market, first steps to get into it with Kevin Kühl.

#15 - Modeling complex systems like the Covid and epilepsy with Kevin Kühl.

#14 - Dimensionality Reduction and Clustering. Understanding PCA, Kmeans and Autoencoders.

#13 - Augmented reality and virtual reality with Vinícius Bonemer.

#12 - Transforming normal pictures into famous paintings. Understanding the CycleGAN.

#11- How did I win a Kaggle competition.

#10 - Racist algorithms

#9 - Trees and forests. How these algorithms work? Understanding XGBoost and RandomForest.

#8 - Myths and truths about Artificial Intelligence

#7 - What's behind Instagram filters? Understanding the styleGAN.

#6 - How to generate people that doesn't exist? Understanding Generative Adversarial Networks - GANs.

#5 - How Facebook algorithms work?

#4 - How the computer understand texts? Understanding Word Embeddings.

#3 - Artificial intelligence for images. Understanding Convolutional Neural Networks - CNNs.

#2 - Is it possible to predict news?

#1 - AI and fraud detection in the stock market.

Life with AI (Trailer)