Course Website & Materials: https://kuleshov-group.github.io/aml-website/ Lecture Notes: https://kuleshov-group.github.io/aml-book/intro.html Course Material...

There's an interesting new model by Meta in Hugging Face Transformers, and it's not an LLM this time. It's not even #GenAI! 😱

The model is called I-JEPA, and envisions Yann LeCun's take on creating truly artificial intelligence that understands the world…

Y Combinator’s latest “request for startups” and Andreessen Horowitz’s “big ideas in tech for 2025” give a decent view of the direction things are going in… | 25 comments on LinkedIn

Comprehensive comparison that tears down the top catalogs on the market: Unity Catalog, Apache Polaris Incubating, DataHub, Glue, Apache Gravitino, and Atlan. In this deep dive you will find head-to-head comparisons of features ranging from access controls…

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A course on aligning smol models. Contribute to huggingface/smol-course development by creating an account on GitHub.

Welcome to the Llama Cookbook! This is your go to guide for Building with Llama: Getting started with Inference, Fine-Tuning, RAG. We also show you how to solve end to end problems using Llama mode...

Hamel talks with Sebastian about a observability and how to get started with instrumenting and writing tests for your applications. This is a series of office hours focused on LLM Evals.

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Notes for this…

Office hours discussion on LLM observability and evaluation

[WIP] Resources for AI engineers. Also contains supporting materials for the book AI Engineering (Chip Huyen, 2025) - chiphuyen/aie-book

Two years ago, I faced a unique choice: the opportunity to work on open-source while keeping a paycheck. As someone who had spent their entire career building closed-source products at privacy-focused companies, this proposition felt daunting and somewhat…

Kickstart your LLMOps initiative with a flexible, robust, and productive Python package. - callmesora/llmops-python-package

I got my first job in a data science role as a fresher in 2018. And if you are from India you will know that back in 2018 it was a great…

I completed my college studies in 2018 and ChatGPT was launched in November, 2022. So obviously, I never get the chance to use ChatGPT…

Discover how to build reliable LLM applications by applying the E-Myth's systematic approach to automation. Learn why starting with human processes and incrementally automating tasks leads to more robust LLM applications. Perfect for startup founders and…

A comprehensive overview of lessons learned from the world's largest database of LLMOps case studies (457 entries as of January 2025), examining how companies implement and deploy LLMs in production. Through nine thematic blog posts covering everything from…

Colab notebook

This is a general audience deep dive into the Large Language Model (LLM) AI technology that powers ChatGPT and related products. It is covers the full training stack of how the models are developed, along with mental models of how to think about their "psychology"…

As we’re still in the early days of building applications with foundation models, it’s normal to make mistakes. This is a quick note with examples of some of the most common pitfalls that I’ve seen, both from public case studies and from my personal experience.