Arturo Nereu

I’ve been learning AI for the past years, coming from the games industry. I collected the books, tools, and ideas that actually helped me understand things. Here’s what I’d recommend if you’re just getting started: 📘 AI Engineering: Building Applications with Foundation Models…

A quote from the book: When you know something cannot be done, also remember the essential reason why, so later, when the circumstances have changed, you will not say, "it can't be done".

I’m flying to Brazil and I’ll be reading “The Art of Doing Science and Engineering”. It’s a beautiful coincidence because @pikuma is the person who recommended it.

This week's read. Prompt Engineering for LLMs.

A manta ray outlined using Meta's SAM2. ai.meta.com/sam2/. The model is available on GitHub github.com/facebookresear…

I keep coming back to "Deep Learning - A Visual Approach" by Andrew Glassner. Sometimes, just for fun. It is my favorite Deep Learning book.

I've updated the repository with a couple of new books: Generative AI with Transformers and Diffusion Models & Hands-On Large Language Models.

This weekend's read. Generative AI with Transformers and Diffusion Models by @osanseviero et al.

Thursday Read.

An NLP Researcher friend of mine recommended this book.

Alejemos la perversión de la televisión y de los videojuegos.