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ChatGPT for Conversational AI and Chatbots

You're reading from   ChatGPT for Conversational AI and Chatbots Learn how to automate conversations with the latest large language model technologies

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Product type Paperback
Published in Jul 2024
Publisher Packt
ISBN-13 9781805129530
Length 250 pages
Edition 1st Edition
Tools
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Author (1):
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Adrian Thompson Adrian Thompson
Author Profile Icon Adrian Thompson
Adrian Thompson
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Table of Contents (15) Chapters Close

Preface 1. Part 1: Foundations of Conversational AI FREE CHAPTER
2. Chapter 1: An Introduction to Chatbots, Conversational AI, and ChatGPT 3. Chapter 2: Using ChatGPT with Conversation Design 4. Part 2: Using ChatGPT, Prompt Engineering, and Exploring LangChain
5. Chapter 3: ChatGPT Mastery – Unlocking Its Full Potential 6. Chapter 4: Prompt Engineering with ChatGPT 7. Chapter 5: Getting Started with LangChain 8. Chapter 6: Advanced Debugging, Monitoring, and Retrieval with LangChain 9. Part 3: Building and Enhancing ChatGPT-Powered Applications
10. Chapter 7: Vector Stores as Knowledge Bases for Retrieval-augmented Generation 11. Chapter 8: Creating Your Own LangChain Chatbot Example 12. Chapter 9: The Future of Conversational AI with LLMs 13. Index 14. Other Books You May Enjoy

Working with a prompt engineering strategy

Prompt engineering is an iterative process. It’s unlikely that you’ll be successful with your task with your first, second, or third prompt. This is why I tend to avoid guides and lists on the internet offering the 100 best prompts. There are no hard and fast rules in prompt engineering, but there are some strategies to follow alongside using some or all of our effective prompt components. Let’s take a closer look at some of these strategies in more detail.

Define clear goals

Before you even start using prompts, it’s best to consider the task you’re trying to achieve. A clear design and goal will mean fewer iterations overall. So, consider your task and see whether you can explain it clearly to yourself or describe it in a few sentences, including some appropriate keywords, to ensure that you’ve thought it through and have enough detail to provide to ChatGPT. LLMs tend to go off on tangents if...

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