03507nam a22002417a 450000500170000000800410001702000180005804000180007608200190009410000230011324501300013625000120026626000320027830000290031050005370033950520400087665000490291665000500296565000240301594200290303999900190306895201780308720260211152038.0260210b |||||||| |||| 00| 0 eng d a9789363869264 cAIMIT LIBRARY 21a006.3bKHAI aKhan, Ian.9254246 aQuick guide to prompt engineering : bgenerative AI tips and tricks for chatGPT, bard dall-E, and Midjourney / cBy Ian Khan. a1st ed. aNew Delhi :bWiley ,c2025. axiv,522p. ;bPBc23.3 cm aIdeal for anyone eager to explore one of the most revolutionary and practical technological advancements of our time, The Quick Guide to Prompt Engineering is an essential read. Whether you're a tech enthusiast, marketer, content creator, technical professional, data expert, or simply someone looking to harness the power of generative AI at work or home, this guide is designed for you. With no prior experience required, this resource simplifies complex concepts, making generative AI accessible to all, regardless of expertise. aChapter 1 The Basics of Generative Artificial Intelligence Chapter 2 The Role of Prompts in Generative AI Chapter 3 A Step-by-Step Guide to Creating Effective Prompts Chapter 4 Diving Deeper: Structure and Nuances of Prompts Chapter 5 Prompt Engineering across Industry Chapter 6 Practical Guide to Prompt Engineering Chapter 7 Ethical Considerations in Prompt Engineering Chapter 8 Application-Specific Prompt Engineering Chapter 9 Advanced Topics in Prompt Engineering Chapter 10 Prompt Engineering with OpenAI ChatGPT Chapter 11 Exploring Prompts with Chat GPT Chapter 12 Getting Creative with DALL-E Chapter 13 Text Synthesis with CTRL Chapter 14 Learning Languages with T2T (Tensor2Tensor) Chapter 15 Building Blocks with BERT Chapter 16 Voice Synthesis with Tacotron Chapter 17 Transformers in Music with MuseNet Chapter 18 Generating Images with BigGAN Chapter 19 Creating Code with Codex Chapter 20 Generating 3D Art with RunwayML Chapter 21 DeepArt and Artistic Prompts Chapter 22 Midjourney Chapter 23 Google Bard Chapter 24 Deepfaking with DeepFaceLab Chapter 25 Image Editing with DeepArt Effects Chapter 26 Content Generation with AIVA Chapter 27 Audio Synthesis with WaveNet Chapter 28 Image Classification with ImageNet Chapter 29 Video Synthesis with VQ-VAE Chapter 30 Your Future in Prompt Engineering Case Study-1: Multilingual Chatbot for Customer Service—“LinguaNext Technologies” Case Study-2: Personalized Content Creation—“AdGen Technologies” Appendix A: Collaborative AI Endeavors and Competitive Engagement in India Appendix B: Questions Acknowledgments Ian Khan—The FuturistrAbout the Author Ian Khan is a prolific Technology Futurist, documentary filmmaker, author, and commentator who has been regularly featured on CNN, Bloomberg, BCC, Fox, and other global media. He’s a recognized thought leader on Foresight, and future leadership with clients that include Fortune 500 companies, Governments and leading professional associations and industry groups. aThe role of prompts in generative AI9254247 aPractical guide to prompt engineering9254248 aGoogle bard9254249 2ddccBKe1stk006.3 KHAI c240867d240867 00102ddc40708MCAaAIMITbAIMITd2026-02-03eKL Book Houseg589.00iBill no:1288; Bill dt:2026-01-23l0o006.3 KHAIpMCA17386r2026-05-23 00:00:00v441.75w2026-02-10yBK