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You're reading from  Generative AI with LangChain

Product typeBook
Published inDec 2023
PublisherPackt
ISBN-139781835083468
Edition1st Edition
Concepts
Artificial Intelligence
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Author (1)
Ben Auffarth
Ben Auffarth
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Ben Auffarth

Ben Auffarth is a full-stack data scientist with more than 15 years of work experience. With a background and Ph.D. in computational and cognitive neuroscience, he has designed and conducted wet lab experiments on cell cultures, analyzed experiments with terabytes of data, run brain models on IBM supercomputers with up to 64k cores, built production systems processing hundreds and thousands of transactions per day, and trained language models on a large corpus of text documents. He co-founded and is the former president of Data Science Speakers, London.
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Summary

LLMs produce convincing language but have significant limitations in terms of reasoning, knowledge, and access to tools. The LangChain framework simplifies the building of sophisticated applications powered by LLMs that can mitigate these shortcomings. It provides developers with modular, reusable building blocks like chains for composing pipelines and agents for goal-oriented interactions. These building blocks fit together as LLM apps that come with extended capabilities.

As we saw in this chapter, chains allow sequencing calls to LLMs, databases, APIs, and more to accomplish multi-step workflows. Agents leverage chains to take actions based on observations for managing dynamic applications. Memory persists information across executions to maintain state. Together, these concepts enable developers to overcome the limitations of individual LLMs by integrating external data, actions, and context. In other words, LangChain reduces complex orchestration into customizable...

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Generative AI with LangChain
Published in: Dec 2023Publisher: PacktISBN-13: 9781835083468
© 2023 Packt Publishing Limited All Rights Reserved

Author (1)

author image
Ben Auffarth

Ben Auffarth is a full-stack data scientist with more than 15 years of work experience. With a background and Ph.D. in computational and cognitive neuroscience, he has designed and conducted wet lab experiments on cell cultures, analyzed experiments with terabytes of data, run brain models on IBM supercomputers with up to 64k cores, built production systems processing hundreds and thousands of transactions per day, and trained language models on a large corpus of text documents. He co-founded and is the former president of Data Science Speakers, London.
Read more about Ben Auffarth

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