Go ahead and axolotl questions

PyTorch native post-training library

Automatic evals for LLMs

🙌 OpenHands: Code Less, Make More

Cake the Cat functional configurable chat bot

Efficient Triton Kernels for LLM Training

LLM training in simple, raw C/CUDA

ML_crash_course

Introduction to Machine Learning Systems

PyTorch native quantization and sparsity for training and inference

The engine of the RenderCV App

Flash Attention in ~100 lines of CUDA (forward pass only)

Simple Implement Transformer with C and Python for educational purpose

A curated list for Efficient Large Language Models

DSPy: The framework for programming—not prompting—language models

User-friendly AI Interface (Supports Ollama, OpenAI API, ...)

Python bindings for llama.cpp

Learn CUDA Programming, published by Packt

An awesome repository of local AI tools

Inference Llama 2 in one file of pure C

Source for https://fullstackdeeplearning.com

Fine-tune SantaCoder for Code/Text Generation.

O'Reilly Book: [Data Algorithms with Spark] by Mahmoud Parsian

LLM inference in C/C++

📋 A list of open LLMs available for commercial use.

deadlock detection for pthread_mutex [search keywords: lockdep pthread]

Integrate cutting-edge LLM technology quickly and easily into your apps