🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
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Updated
May 20, 2024 - Python
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
The official gpt4free repository | various collection of powerful language models
A framework for few-shot evaluation of language models.
たまに追加される論文メモ
An Extensible Toolkit for Finetuning and Inference of Large Foundation Models. Large Models for All.
Build AI-powered applications with React, Svelte, Vue, and Solid
Enable everyone to develop, optimize and deploy AI models natively on everyone's devices.
Harness LLMs with Multi-Agent Programming
[ICLR 2024] SWE-Bench: Can Language Models Resolve Real-world Github Issues?
OSWorld: Benchmarking Multimodal Agents for Open-Ended Tasks in Real Computer Environments
Unify Efficient Fine-Tuning of 100+ LLMs
A curated list of NLP resources focused on Transformer networks, attention mechanism, GPT, BERT, ChatGPT, LLMs, and transfer learning.
Efficient inference of large language models.
精选了5K+项目,包括机器学习、深度学习、NLP、GNN、推荐系统、生物医药、机器视觉、前后端开发等内容。Selected more than 5000 projects, including machine learning, deep learning, NLP, GNN, recommendation system, biomedicine, machine vision, etc. Let more excellent projects be discovered by people. Continue to update! Welcome to star!
Bringing large-language models and chat to web browsers. Everything runs inside the browser with no server support.
An animal can do training and inference every day of its existence until the day of its death. A forward pass is all you need.
😷 The Fill-Mask Association Test (FMAT): Measuring Propositions in Natural Language.
State of the Art Natural Language Processing
💡 All-in-one open-source embeddings database for semantic search, LLM orchestration and language model workflows
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