My favourite LLM paper is finally open source! 🙏 Running a single Large Language Model agent is easy Running multiple is hard Running multiple over days of sustained interactions is really hard I’ve spent the last 3 days reading through the code of the paper that solved… Show more

So right now, LLMs (Large Language Models) are all the rage. But in the future, it’s possible that the way we get things done is composing things with a combination of LLMs, SMMs (Small, Mighty Models), agents and tools.

It’s what I call Cognitive Composition (because it sounds cool and I have a longtime love affair with alliteration).

This is how we... See more

On their own, large language models (LLMs) are, to a significant extent, Babel-like. Their latent space can output every possible combination of words. They are capable of creating genius-level sentences—and also false gibberish. And at this point in the lifecycle of this technology, the quality of the results you’re going to get is far higher when

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AutoGen's design offers multiple advantages: a) it gracefully navigates the strong but imperfect generation and reasoning abilities of these LLMs; b) it leverages human understanding and intelligence, while providing valuable automation through conversations between agents; c) it simplifies and unifies the implementation of complex LLM workflows as... See more