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Unlocking the Secrets of Prompt Engineering
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Unlocking the Secrets of Prompt Engineering
By:
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)
Preface
Chapter 1: Understanding Prompting and Prompt Techniques
Chapter 2: Generating Text with AI for Content Creation
Part 2:Basic Prompt Engineering Techniques
Chapter 3: Creating and Promoting a Podcast Using ChatGPT and Other Practical Examples
Chapter 4: LLMs for Creative Writing
Chapter 5: Unlocking Insights from Unstructured Text – AI Techniques for Text Analysis
Part 3: Advanced Use Cases for Different Industries
Chapter 6: Applications of LLMs in Education and Law
Chapter 7: The Rise of AI Pair Programmers – Teaming Up with Intelligent Assistants for Better Code
Chapter 8: AI for Chatbots
Chapter 9: Building Smarter Systems – Advanced LLM Integrations
Part 4:Ethics, Limitations, and Future Developments
Chapter 10: Generative AI – Emerging Issues at the Intersection of Ethics and Innovation
Chapter 11: Conclusion
Index
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