Awesome LLM Agents Project
Overview
The "Awesome LLM Agents" project is a curated collection that highlights exceptional tools and resources related to Large Language Models (LLMs). This compilation includes various open-source frameworks, applications, platforms, research papers, and talks, all centered around the innovative use and development of LLM agents. The project is open for contributions, encouraging the community to suggest improvements or introduce new resources through issues and pull requests.
Frameworks
The project's framework section is rich with tools that facilitate the building of applications using LLMs. Notable frameworks include:
- Langchain: Known for its composability, this framework supports a wide array of agents like CSV, JSON, OpenAPI, Pandas DataFrame, Python, SQL Database, and Vectorstore agents.
- Llama Index: Offers a data-centric framework suitable for LLM applications, complemented by the Llama Hub, a community-driven resource library.
- Haystack: This end-to-end NLP framework aids in constructing natural language processing applications and features tools like the Haystack Agent, SearchEngine, and TopPSampler.
- Embedchain: Designed to build chatbots similar to ChatGPT over datasets, with a JavaScript repository available for users.
Applications
Explore a variety of applications that leverage LLM capabilities:
- VisualGPT: A Microsoft project that links ChatGPT with Visual Foundation Models, enabling interactive image exchange alongside text conversation.
- Lindy AI: An AI-driven personal assistant to streamline daily tasks.
- CensusGPT: Specialized in answering questions related to census data.
- Hearth AI: Focuses on managing relationships with agent-like interaction.
- RCI Agent for MiniWoB++: Demonstrates the potential of LLMs in completing computer-based tasks.
- babyagi: An AI-enhanced task management tool to improve efficiency.
Platforms
Discover platforms designed to extend the functionality of LLMs:
- ChatGPT plugins: Enable ChatGPT to connect seamlessly with third-party applications, broadening its utility.
- fixie.ai: Offers a platform to create natural language agents proficient in connecting data, interfacing with APIs, and addressing complex problems.
Papers
The project also includes insightful research papers that delve into the advancements and applications of LLMs:
- Toolformer: Investigates how language models can independently learn tool usage.
- Visual ChatGPT: Explores interactions involving talking, drawing, and editing using Visual Foundation Models.
- HuggingGPT: Discusses collaborative solutions for AI tasks utilizing ChatGPT and HuggingFace resources.
Talks
Engage with expert talks like:
- LangChain Agents - Joining Tools and Chains with Decisions: A comprehensive presentation that showcases the integration of tools and chains to make informed decisions in LLM applications.
The "Awesome LLM Agents" project serves as an invaluable resource for those interested in exploring the vast potential of LLM agents, offering a structured pathway to understanding and utilizing these powerful technologies.