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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

Generative AI – Emerging Issues at the Intersection of Ethics and Innovation

Generative artificial intelligence (AI) systems represent a new era of AI capabilities. Unlike narrow AI, which is programmed to perform specific, limited tasks without general intelligence or adaptability beyond their narrow focus, generative AI can automatically create a wide range of new content and artifacts such as text, images, audio, and video based on its training data.

Recent advances in deep learning have rapidly accelerated the sophistication of generative models such as GPT-4, DALL-E 3, and Stable Diffusion. While this unlocks new creative potential, it also introduces profound ethical challenges that demand urgent attention as these technologies proliferate across society.

As generative AI capabilities advance, these technologies raise complex questions at the intersection of ethics, technological progress, and social impacts. This chapter explores emerging issues across multiple...

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