🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
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Updated
Jun 1, 2024 - Python
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Harness LLMs with Multi-Agent Programming
Build AI-powered applications with React, Svelte, Vue, and Solid
Language modeling and instruction tuning for Russian
InternLM-XComposer2 is a groundbreaking vision-language large model (VLLM) excelling in free-form text-image composition and comprehension.
日本語LLMまとめ - Overview of Japanese LLMs
🔍 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.
[ACL 2023] The code for our ACL'23 paper Cold-Start Data Selection for Few-shot Language Model Fine-tuning: A Prompt-Based Uncertainty Propagation Approach
Universal LLM Deployment Engine with ML Compilation
Explain a black-box module in natural language.
High-performance In-browser LLM Inference Engine
A framework for few-shot evaluation of language models.
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
GPT4V-level open-source multi-modal model based on Llama3-8B
Implementation of the LongRoPE: Extending LLM Context Window Beyond 2 Million Tokens Paper
A reading list for large models safety, security, and privacy.
List of language agents based on paper "Cognitive Architectures for Language Agents"
たまに追加される論文メモ
An open source implementation of CLIP.
🐙 Guides, papers, lecture, notebooks and resources for prompt engineering
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