🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
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Updated
Oct 5, 2024 - Python
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
21 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
The official gpt4free repository | various collection of powerful language models
🐙 Guides, papers, lecture, notebooks and resources for prompt engineering
OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.
Efficiently Fine-Tune 100+ LLMs in WebUI (ACL 2024)
Code and documentation to train Stanford's Alpaca models, and generate the data.
Universal LLM Deployment Engine with ML Compilation
🔍 AI orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or conversational agent chatbots.
GPT-powered chat for documentation, chat with your documents
High-performance In-browser LLM Inference Engine
RWKV is an RNN with transformer-level LLM performance. It can be directly trained like a GPT (parallelizable). So it's combining the best of RNN and transformer - great performance, fast inference, saves VRAM, fast training, "infinite" ctx_len, and free sentence embedding.
Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"
An open source implementation of CLIP.
Build AI-powered applications with React, Svelte, Vue, and Solid
大规模中文自然语言处理语料 Large Scale Chinese Corpus for NLP
💥 Fast State-of-the-Art Tokenizers optimized for Research and Production
💡 All-in-one open-source embeddings database for semantic search, LLM orchestration and language model workflows
A PyTorch-based Speech Toolkit
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