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Unlocking the Secrets of Prompt Engineering

Unlocking the Secrets of Prompt Engineering

By : Gilbert Mizrahi
4.6 (16)
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Unlocking the Secrets of Prompt Engineering

Unlocking the Secrets of Prompt Engineering

4.6 (16)
By: Gilbert Mizrahi

Overview of this book

Unlocking the Secrets of Prompt Engineering is your key to mastering the art of AI-driven writing. This book propels you into the world of large language models (LLMs), empowering you to create and apply prompts effectively for diverse applications, from revolutionizing content creation and chatbots to coding assistance. Starting with the fundamentals of prompt engineering, this guide provides a solid foundation in LLM prompts, their components, and applications. Through practical examples and use cases, you'll discover how LLMs can be used for generating product descriptions, personalized emails, social media posts, and even creative writing projects like fiction and poetry. The book covers advanced use cases such as creating and promoting podcasts, integrating LLMs with other tools, and using AI for chatbot development. But that’s not all. You'll also delve into the ethical considerations, best practices, and limitations of using LLM prompts as you experiment and optimize your approach for best results. By the end of this book, you'll have unlocked the full potential of AI in writing and content creation to generate ideas, overcome writer's block, boost productivity, and improve communication skills.
Table of Contents (18 chapters)
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1
Part 1:Introduction to Prompt Engineering
4
Part 2:Basic Prompt Engineering Techniques
8
Part 3: Advanced Use Cases for Different Industries
13
Part 4:Ethics, Limitations, and Future Developments

Case study – creating interactive quizzes/assessments and deploying them as chatbot flows

Chatbots present an interesting opportunity for creating dynamic, conversational assessments and quizzes. Using LLMs, chatbots can be designed to guide users through interactive questioning, understand free-form responses, and provide personalized feedback.

In this section, we’ll explore a case study of a financial advisory chatbot that conducts a risk assessment quiz to gauge a client’s risk tolerance for investment purposes. The chatbot has been built to automate part of their client onboarding process. By administering a risk quiz through natural conversation, the chatbot can evaluate a client’s responses and determine their risk profile.

The designed dialogue flows to mimic a human advisor asking questions about the client’s feelings on investment risks. The chatbot can interpret unstructured answers and adapt quiz questions based on the client’...

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