🦜🔗 Build context-aware reasoning applications

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

Implement a ChatGPT-like LLM in PyTorch from scratch, step by step

Learn how to design, develop, deploy and iterate on production-grade ML applications.

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

The fastai book, published as Jupyter Notebooks

Audiocraft is a library for audio processing and generation with deep learning. It features the state-of-the-art EnCodec audio compressor / tokenizer, along with MusicGen, a simple and controllable…

A guidance language for controlling large language models.

Instruct-tune LLaMA on consumer hardware

Data and code behind the articles and graphics at FiveThirtyEight

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…

This repository contains the Hugging Face Agents Course.

A collection of notebooks/recipes showcasing some fun and effective ways of using Claude.

Official inference library for Mistral models

Using Low-rank adaptation to quickly fine-tune diffusion models.

Playing Pokemon Red with Reinforcement Learning

Overview and tutorial of the LangChain Library

Neural building blocks for speaker diarization: speech activity detection, speaker change detection, overlapped speech detection, speaker embedding

A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.

A better notebook for Scala (and more)

Collection of useful data science topics along with articles, videos, and code

Prompt Engineering | Prompt Versioning | Use GPT or other prompt based models to get structured output. Join our discord for Prompt-Engineering, LLMs and other latest research

A high performance implementation of HDBSCAN clustering.

This is a Phi Family of SLMs book for getting started with Phi Models. Phi a family of open sourced AI models developed by Microsoft. Phi models are the most capable and cost-effective small langua…

Simple UI for LLM Model Finetuning

Awesome resources for in-context learning and prompt engineering: Mastery of the LLMs such as ChatGPT, GPT-3, and FlanT5, with up-to-date and cutting-edge updates.

Instruct-tune LLaMA on consumer hardware

What can I do with a LLM model?

Accompanying code and SEP dataset for the "Can LLMs Separate Instructions From Data? And What Do We Even Mean By That?" paper.