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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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Questions

Please have a look to see if you can come up with the answers to these questions from memory. I’d recommend you go back to the corresponding sections of this chapter if you are unsure about any of them:

  1. How can we summarize documents with LLMs?
  2. What is the chain of density?
  3. What are LangChain decorators and what’s the LangChain Expression Language?
  4. What is map-reduce in LangChain?
  5. How can we count the tokens we are using (and why should we)?
  6. How is instruction tuning related to function calling and tool usage?
  7. Give some examples of tools that are available in LangChain.
  8. Please define two agent paradigms.
  9. What is Streamlit and why do we want to use it?
  10. How does automated fact-checking work?
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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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