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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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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

Extracting information from documents

In June 2023, OpenAI announced updates to OpenAI’s API, including new capabilities for function calling, which enhanced functionality. OpenAI’s addition of function calling builds on instruction tuning. By describing functions in a schema, developers can tune LLMs to return structured outputs adhering to that schema – for example, extracting entities from text by outputting them in a predefined JSON format.

Function calling enables developers to create chatbots that can answer questions using external tools or OpenAI plugins. It also allows for converting natural language queries into API calls or database queries and extracting structured data from text.

Developers can now describe functions to the gpt-4-0613 and gpt-3.5-turbo-0613 models and have the models intelligently generate a JSON object containing arguments to call those functions. This feature aims to enhance the connection between GPT models and external...

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