Enable everyone to develop, optimize and deploy AI models natively on everyone's devices.
-
Updated
May 18, 2024 - Python
Enable everyone to develop, optimize and deploy AI models natively on everyone's devices.
[LexBench] Revisiting a Pain in the Neck 🤔: Semantic Phrases Processing for Language Models.
💥 Fast State-of-the-Art Tokenizers optimized for Research and Production
Build AI-powered applications with React, Svelte, Vue, and Solid
たまに追加される論文メモ
LangSmith Client SDK Implementations
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
[ICLR 2024] SWE-Bench: Can Language Models Resolve Real-world Github Issues?
OSWorld: Benchmarking Multimodal Agents for Open-Ended Tasks in Real Computer Environments
A curated list for Efficient Large Language Models
A framework for few-shot evaluation of language models.
Unify Efficient Fine-Tuning of 100+ LLMs
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.
An AI agent for your Github project that can search and manipulate the code base, browse the internet and interact with Github issues and pull requests
The official gpt4free repository | various collection of powerful language models
A reading list for large models safety, security, and privacy.
An Extensible Toolkit for Finetuning and Inference of Large Foundation Models. Large Models for All.
日本語LLMまとめ - Overview of Japanese LLMs
Efficient inference of large language models.
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."