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Generative AI with LangChain

You're reading from   Generative AI with LangChain Build large language model (LLM) apps with Python, ChatGPT, and other LLMs

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Product type Paperback
Published in Dec 2023
Publisher Packt
ISBN-13 9781835083468
Length 368 pages
Edition 1st Edition
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Author (1):
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Ben Auffarth Ben Auffarth
Author Profile Icon Ben Auffarth
Ben Auffarth
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Table of Contents (13) Chapters Close

Preface 1. What Is Generative AI? 2. LangChain for LLM Apps FREE CHAPTER 3. Getting Started with LangChain 4. Building Capable Assistants 5. Building a Chatbot Like ChatGPT 6. Developing Software with Generative AI 7. LLMs for Data Science 8. Customizing LLMs and Their Output 9. Generative AI in Production 10. The Future of Generative Models 11. Other Books You May Enjoy
12. Index

LLMs for Data Science

This chapter is about how generative AI can automate data science. Generative AI, in particular LLMs, has the potential to accelerate scientific progress across various domains, especially by providing efficient analysis of research data and aiding in literature review processes. A lot of the current approaches that fall within the domain of Automated Machine Learning (AutoML) can help data scientists increase their productivity and make data science processes more repeatable. In this chapter, we’ll first discuss how data science is affected by generative AI and then cover an overview of automation in data science.

Next, we’ll discuss how we can use code generation and tools in diverse ways to answer questions related to data science. This can come in the form of doing a simulation or enriching our dataset with additional information. Finally, we’ll shift the focus to the exploratory analysis of structured datasets. We can set up agents...

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