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Generative AI with LangChain

You're reading from Generative AI with LangChain

Product type Book

Published in Dec 2023

Publisher Packt

ISBN-13 9781835083468

Pages 360 pages

Edition 1st Edition

Languages

Concepts

Artificial Intelligence

Author (1):

Ben Auffarth

Table of Contents (13) Chapters

Preface

1. What Is Generative AI?

2. LangChain for LLM Apps

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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Authors (1)

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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