High-quality datasets, tools, and concepts for LLM fine-tuning.

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

Training LLMs with QLoRA + FSDP

Example fasthtml applications demonstrating a range of web programming techniques

Utilities intended for use with Llama models.

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

Finetune Llama 3.2, Mistral, Phi & Gemma LLMs 2-5x faster with 80% less memory

Implementation for MatMul-free LM.

Machine Learning Engineering Open Book

Breakout sessions for the Introduction to Prometheus Workshop

Kafka GUI for Apache Kafka to manage topics, topics data, consumers group, schema registry, connect and more...

An open collection of REST API standards documents

Code for Head First Design Patterns book (2020)

Comprehensive Python Cheatsheet

Webpack Content in the Front End Developer Nanodegree program

The C++ Core Guidelines are a set of tried-and-true guidelines, rules, and best practices about coding in C++

General Front End Nanodegree Content Resources

Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch

A Python-embedded modeling language for convex optimization problems.

All-inclusive Python cheatsheet

The fastai deep learning library