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  • Book Overview & Buying Unlocking the Secrets of Prompt Engineering
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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

Unlocking Insights from Unstructured Text – AI Techniques for Text Analysis

Unstructured text data holds invaluable insights, but making sense of qualitative information at scale presents a monumental challenge. This chapter explores techniques that enable generative AI systems to automate the analysis and organization of free-form text.

We’ll learn how sentiment analysis classifies the emotional tone behind words to determine whether content is positive, neutral, or negative. We’ll see how data classification uses machine learning to categorize text into predefined topics and labels. And we’ll discover how pattern-matching techniques can extract key information from unstructured data and transform it into structured outputs.

These AI capabilities help businesses and organizations efficiently process massive amounts of unstructured data to uncover actionable insights. Sentiment analysis reveals how consumers feel about products or brands. Data classification...

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Tech Concepts
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Programming languages
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