🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
-
Updated
Nov 27, 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.
Unified Efficient Fine-Tuning of 100+ LLMs (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.
Chatbot for documentation, that allows you to chat with your data. Privately deployable, provides AI knowledge sharing and integrates knowledge into your AI workflow
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
💡 All-in-one open-source embeddings database for semantic search, LLM orchestration and language model workflows
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
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."