🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
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Updated
May 10, 2024 - Python
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
18 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
Code and documentation to train Stanford's Alpaca models, and generate the data.
OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.
Unify Efficient Fine-Tuning of 100+ LLMs
Open Source Neural Machine Translation and (Large) Language Models in PyTorch
🔍 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.
大规模中文自然语言处理语料 Large Scale Chinese Corpus for NLP
A framework for few-shot evaluation of language models.
Enable everyone to develop, optimize and deploy AI models natively on everyone's devices.
A PyTorch-based Speech Toolkit
GPT 3.5/4 with a Chat Web UI. No API key required.
Google AI 2018 BERT pytorch implementation
Build AI-powered applications with React, Svelte, Vue, and Solid
ChatGPT interface with better UI
An implementation of model parallel autoregressive transformers on GPUs, based on the DeepSpeed library.
An implementation of model parallel GPT-2 and GPT-3-style models using the mesh-tensorflow library.
An open source implementation of CLIP.
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