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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? FREE CHAPTER 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

Methods for conditioning

With the advent of large pre-trained language models like GPT, there has been growing interest in techniques to adapt these models for downstream tasks. As LLMs continue to develop, they will become even more effective and useful for a broader range of applications, and we can expect future advancements in fine-tuning and prompting techniques to help go even further in complex tasks that involve reasoning and tool use.

Several approaches have been proposed for conditioning. Here is a table summarizing the different techniques:

Stage

Technique

Examples

Training

Data curation

Training on diverse data

Objective function

Careful design of training...

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