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LLM
Train transformer language models with reinforcement learning.
SALMONN: Speech Audio Language Music Open Neural Network
A curated list of awesome LLM for Autonomous Driving resources (continually updated)
On the Road with GPT-4V(ision): Explorations of Utilizing Visual-Language Model as Autonomous Driving Agent
GPT4All: Run Local LLMs on Any Device. Open-source and available for commercial use.
A high-throughput and memory-efficient inference and serving engine for LLMs
[Nature Reviews Bioengineering🔥] Application of Large Language Models in Medicine. A curated list of practical guide resources of Medical LLMs (Medical LLMs Tree, Tables, and Papers)
Minimal, clean code for the Byte Pair Encoding (BPE) algorithm commonly used in LLM tokenization.
[Nature Communications] The official codes for "Towards Building Multilingual Language Model for Medicine"
🌟 The Multi-Agent Framework: First AI Software Company, Towards Natural Language Programming
Work with LLMs on a local environment using containers
Lumina-T2X is a unified framework for Text to Any Modality Generation
The official pytorch implementation of our paper "Is Space-Time Attention All You Need for Video Understanding?"
Build large language model (LLM) apps with Python, ChatGPT and other models. This is the companion repository for the book on generative AI with LangChain.
Perplexica is an AI-powered search engine. It is an Open source alternative to Perplexity AI
Distribute and run LLMs with a single file.
Get up and running with Llama 3.3, DeepSeek-R1, Phi-4, Gemma 2, and other large language models.
LLamaCare is a large medical language model designed for healthcare knowledge sharing.
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
🐙 Guides, papers, lecture, notebooks and resources for prompt engineering
LAVIS - A One-stop Library for Language-Vision Intelligence
Fast and accurate automatic speech recognition (ASR) for edge devices
User-friendly AI Interface (Supports Ollama, OpenAI API, ...)
[ICLR2025] Official Implementation of TokenFormer: Rethinking Transformer Scaling with Tokenized Model Parameters