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This is the homepage of a new book entitled "Mathematical Foundations of Reinforcement Learning."
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Accessible large language models via k-bit quantization for PyTorch.
The official repo of Qwen (通义千问) chat & pretrained large language model proposed by Alibaba Cloud.
A 13B large language model developed by Baichuan Intelligent Technology
ChatGLM2-6B: An Open Bilingual Chat LLM | 开源双语对话语言模型
Examples and guides for using the OpenAI API
Instruct-tune LLaMA on consumer hardware
The unofficial python package that returns response of Google Bard through cookie value.
Opiniated RAG for integrating GenAI in your apps 🧠 Focus on your product rather than the RAG. Easy integration in existing products with customisation! Any LLM: GPT4, Groq, Llama. Any Vectorstore: …
Concurrently chat with ChatGPT, Bing Chat, Bard, Alpaca, Vicuna, Claude, ChatGLM, MOSS, 讯飞星火, 文心一言 and more, discover the best answers
A curated list of practical guide resources of LLMs (LLMs Tree, Examples, Papers)
Resources of deep learning for mathematical reasoning (DL4MATH).
🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.
🐙 Guides, papers, lessons, notebooks and resources for prompt engineering, context engineering, RAG, and AI Agents.
AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
GPT4All: Run Local LLMs on Any Device. Open-source and available for commercial use.
Development repository for the Triton language and compiler
An open-source tool-augmented conversational language model from Fudan University
Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"
StableLM: Stability AI Language Models
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.