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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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Part 1:Introduction to Prompt Engineering
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Part 2:Basic Prompt Engineering Techniques
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Chapter 4: LLMs for Creative Writing
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Part 3: Advanced Use Cases for Different Industries
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Part 4:Ethics, Limitations, and Future Developments
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Index
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Other Books You May Enjoy
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The Rise of AI Pair Programmers – Teaming Up with Intelligent Assistants for Better Code

As artificial intelligence (AI) continues advancing, coding assistants have emerged as powerful tools to aid software developers. In this chapter, we will explore the capabilities of modern coding assistants and how they are transforming the process of writing computer programs.

Coding assistants can generate boilerplate code, explain code functionality in plain language, add comments and reformat existing code, debug errors, and optimize code performance. They can even translate code from one programming language to another.

With LLMs, these AI systems understand developer intents and generate relevant code snippets and documentation. We will look at case studies of using coding assistants to develop website code and Chrome extensions, showing how they speed up development cycles.

Rather than wholly replacing human coders, coding assistants aim to augment programmers’ abilities...

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