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Prompt Engineering: Master the art of designing prompts for enhanced Gen AI model performance

Series

5 of 8

Duration
2H 28min
Language
English
Format
Category

Non-Fiction

"Prompt Engineering" is your ultimate guide to mastering the art of designing prompts for optimal AI model performance. Delving into the intricacies of prompt design, this audiobook offers a comprehensive exploration of techniques, principles, and applications to empower listeners in harnessing the full potential of AI models.

Starting with an introduction to prompt engineering, listeners are guided through the psychology behind effective prompts, understanding how language influences AI comprehension and response. Building on this foundation, the audiobook explores strategies for crafting prompts that elicit desired outputs from different AI models, adapting them for maximum efficiency across various contexts.

Listeners learn how to evaluate prompt performance, employing advanced techniques to refine and enhance their designs. From the mathematical principles underpinning efficient prompt engineering to popular examples in ChatGPT prompts, the audiobook provides practical insights and tools for creating compelling interactions with AI.

But "Prompt Engineering" doesn't just stop at theory. It delves into the future of prompt engineering, envisioning interactive prompt design and collaborative approaches to push the boundaries of AI capabilities. Addressing ethical considerations and real-world applications, listeners gain a holistic understanding of the impact and responsibility inherent in prompt design.

Through practical applications, case studies, and discussions of challenges and solutions, "Prompt Engineering" equips listeners with the knowledge and skills to navigate the evolving landscape of AI with confidence and integrity. Whether you're a novice or an expert, this audiobook empowers you to unlock the full potential of AI through effective prompt engineering.

© 2024 Et Tu Code (Audiobook): 9798882472947

Release date

Audiobook: 6 May 2024

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