🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
-
Updated
Aug 12, 2024 - Python
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
The official gpt4free repository | various collection of powerful language models
18 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
🐙 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.
Code and documentation to train Stanford's Alpaca models, and generate the data.
A WebUI for Efficient Fine-Tuning of 100+ LLMs (ACL 2024)
Universal LLM Deployment Engine with ML Compilation
🔍 LLM 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
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.
High-performance In-browser LLM Inference Engine
Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"
An open source implementation of CLIP.
大规模中文自然语言处理语料 Large Scale Chinese Corpus for NLP
Build AI-powered applications with React, Svelte, Vue, and Solid
💥 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
Add a description, image, and links to the language-model topic page so that developers can more easily learn about it.
To associate your repository with the language-model topic, visit your repo's landing page and select "manage topics."