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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

The impact of generative models on data science

Generative AI and LLMs like GPT-4 have brought about significant changes in the field of data science and analysis. These models, particularly LLMs, can revolutionize all the steps involved in data science in many ways, offering exciting opportunities for researchers and analysts. Generative AI models, such as ChatGPT, can understand and generate human-like responses, making them valuable tools for enhancing research productivity.

Generative AI plays a crucial role in analyzing and interpreting research data. These models can assist in data exploration, uncover hidden patterns or correlations, and provide insights that may not be apparent through traditional methods. By automating certain aspects of data analysis, generative AI saves time and resources, allowing researchers to focus on higher-level tasks.

Another area where generative AI can benefit researchers is in performing literature reviews and identifying research gaps...

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