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If you've been following the explosion of AI hype in the past few months, you've probably heard of LangChain. LangChain, developed by Harrison Chase, is a Python and JavaScript library for interfacing with [OpenAI(https://openai.com/)]'s GPT APIs (later expanding to more models) for AI text generation. More specifically, it's an implementation of the paper ReAct: Synergizing Reasoning and Acting in Language Models published October 2022, colloquially known as the ReAct paper, which demonstrates a prompting technique to allow the model to "reason" (with a chain-of-thoughts) and "act" (by being able to use a tool from a predefined set of tools, such as being able to search the internet). This combination is shown to drastically improve output text quality and give large language models the ability to correctly solve problems.
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