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Benchmarking Environmental Science Knowledge of Large Language Models
Build real-time multimodal AI applications 🤖🎙️📹
Build realtime multimodal AI agents with Node.js
SGLang is a fast serving framework for large language models and vision language models.
Propensity Score Matching(PSM) on python
PyAgent is a tool-augmented agent framework that enables function-calling through LLM code generation and provides runtime state management.
🚀🤖 Crawl4AI: Open-source LLM Friendly Web Crawler & Scraper
🤗 smolagents: a barebones library for agents. Agents write python code to call tools and orchestrate other agents.
🐫 CAMEL: Finding the Scaling Law of Agents. The first and the best multi-agent framework. https://www.camel-ai.org
DSPy: The framework for programming—not prompting—language models
tiktoken is a fast BPE tokeniser for use with OpenAI's models.
The conventional commits specification
Educational framework exploring ergonomic, lightweight multi-agent orchestration. Managed by OpenAI Solution team.
Collection of awesome LLM apps with AI Agents and RAG using OpenAI, Anthropic, Gemini and opensource models.
AirLLM 70B inference with single 4GB GPU
LangChain abstractions backed by Postgres Backend
OpenR: An Open Source Framework for Advanced Reasoning with Large Language Models
The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery 🧑🔬
Chat with your database or your datalake (SQL, CSV, parquet). PandasAI makes data analysis conversational using LLMs and RAG.
Run your own AI cluster at home with everyday devices 📱💻 🖥️⌚
Python Docker API client based on asyncio and aiohttp
