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You're reading from  Generative AI with LangChain

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Published inDec 2023
PublisherPackt
ISBN-139781835083468
Edition1st Edition
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Artificial Intelligence
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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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Comparing LangChain with other frameworks

LLM application frameworks have been developed to provide specialized tooling that can harness the power of LLMs effectively to solve complex problems. A few libraries have emerged that meet the requirements of effectively combining generative AI models with other tools to build LLM applications.

There are several open-source frameworks for building dynamic LLM applications. They all offer value in developing cutting-edge LLM applications. This graph shows their popularity over time (data source: GitHub star history, https://star-history.com/):

Figure 2.11: Comparison of popularity between different frameworks in Python

We can see the number of stars on GitHub over time for each project. Haystack is the oldest of the compared frameworks, having started in early 2020 (as per the earliest GitHub commits). It is also the least popular in terms of stars on GitHub. LangChain, LlamaIndex (previously called GPTIndex), and SuperAGI...

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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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