It is a framework that enables the development of LLM applications using multiple agents that can converse with each other to solve tasks. AutoGen agents are customizable, conversable, and seamlessly allow human participation.
AutoGen is a tool in the Agent Platforms category of a tech stack.
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What are some alternatives to AutoGen?
It is a framework built around LLMs. It can be used for chatbots, generative question-answering, summarization, and much more. The core idea of the library is that we can “chain” together different components to create more advanced use cases around LLMs.
It is an open-source library designed to help developers build conversational streaming user interfaces in JavaScript and TypeScript. The SDK supports React/Next.js, Svelte/SvelteKit, and Vue/Nuxt as well as Node.js, Serverless, and the Edge Runtime.
Build, train, and deploy state of the art models powered by the reference open source in machine learning.
Python, GPT-4 by OpenAI, LLaVA are some of the popular tools that integrate with AutoGen. Here's a list of all 3 tools that integrate with AutoGen.
It allows you to run open-source large language models, such as Llama 2, locally.