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Design and use effective prompts for use with generative artificial intelligence tools
The Quick Guide to Prompt Engineering is a practical and incisive discussion of how to effectively deploy prompts to generate useful information from large language artificial intelligence models. Author and futurist Ian Khan dives deep into the role that prompts play in making effective use of Large Language Models and offers a step-by-step guide to creating effective prompts. You'll find hands-on examples of useful prompts in various industries, as well as ethical considerations to keep in mind to help evade some of the most common pitfalls and mistakes when using this technology.
In the book, you'll explore how to generate text, images, voice, music, and even video, using several different leading Large Language Models, like ChatGPT, DALL-E, CTRL, T2T, BERT, Codex, and more. You'll discover application-specific prompt engineering concepts that transform the kinds of results you can achieve with generative AI.
Perfect for tech enthusiasts, marketers, cybersecurity professionals, and other technical specialists, The Quick Guide to Prompt Engineering is also an essential resource for anyone seeking to obtain practical results from generative artificial intelligence tools.
Design and use effective prompts for use with generative artificial intelligence tools
The Quick Guide to Prompt Engineering is a practical and incisive discussion of how to effectively deploy prompts to generate useful information from large language artificial intelligence models. Author and futurist Ian Khan dives deep into the role that prompts play in making effective use of Large Language Models and offers a step-by-step guide to creating effective prompts. You'll find hands-on examples of useful prompts in various industries, as well as ethical considerations to keep in mind to help evade some of the most common pitfalls and mistakes when using this technology.
In the book, you'll explore how to generate text, images, voice, music, and even video, using several different leading Large Language Models, like ChatGPT, DALL-E, CTRL, T2T, BERT, Codex, and more. You'll discover application-specific prompt engineering concepts that transform the kinds of results you can achieve with generative AI.
Perfect for tech enthusiasts, marketers, cybersecurity professionals, and other technical specialists, The Quick Guide to Prompt Engineering is also an essential resource for anyone seeking to obtain practical results from generative artificial intelligence tools.
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.
Preface xi
Chapter 1 The Basics of Generative Artificial Intelligence 1
Chapter 2 The Role of Prompts in Generative AI 19
Chapter 3 A Step-by-Step Guide to Creating Effective Prompts 33
Chapter 4 Diving Deeper: Structure and Nuances of Prompts 47
Chapter 5 Prompt Engineering across Industry 63
Chapter 6 Practical Guide to Prompt Engineering 83
Chapter 7 Ethical Considerations in Prompt Engineering 103
Chapter 8 Application- Specific Prompt Engineering 123
Chapter 9 Advanced Topics in Prompt Engineering 143
Chapter 10 Prompt Engineering with OpenAI ChatGPT 163
Chapter 11 Exploring Prompts with ChatGPT 177
Chapter 12 Getting Creative with DALL- E 193
Chapter 13 Text Synthesis with CTRL 205
Chapter 14 Learning Languages with T2T (Tensor2Tensor) 217
Chapter 15 Building Blocks with BERT 231
Chapter 16 Voice Synthesis with Tacotron 245
Chapter 17 Transformers in Music with MuseNet 259
Chapter 18 Generating Images with BigGAN 273
Chapter 19 Creating Code with Codex 287
Chapter 20 Generating 3D Art with RunwayML 303
Chapter 21 DeepArt and Artistic Prompts 319
Chapter 22 Midjourney 333
Chapter 23 Google Bard 345
Chapter 24 Deepfaking with DeepFaceLab 357
Chapter 25 Image Editing with DeepArt Effects 373
Chapter 26 Content Generation with AIVA 387
Chapter 27 Audio Synthesis with WaveNet 401
Chapter 28 Image Classification with ImageNet 415
Chapter 29 Video Synthesis with VQ- VAE 429
Chapter 30 Your Future in Prompt Engineering 445
Acknowledgments 461
Ian Khan-The Futurist 463
| Erscheinungsjahr: | 2024 |
|---|---|
| Fachbereich: | Management |
| Genre: | Importe, Wirtschaft |
| Rubrik: | Recht & Wirtschaft |
| Medium: | Taschenbuch |
| Inhalt: | 480 S. |
| ISBN-13: | 9781394243327 |
| ISBN-10: | 1394243324 |
| Sprache: | Englisch |
| Einband: | Kartoniert / Broschiert |
| Autor: | Khan, Ian |
| Hersteller: | Wiley |
| Maße: | 227 x 151 x 34 mm |
| Von/Mit: | Ian Khan |
| Erscheinungsdatum: | 26.03.2024 |
| Gewicht: | 0,576 kg |
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.
Preface xi
Chapter 1 The Basics of Generative Artificial Intelligence 1
Chapter 2 The Role of Prompts in Generative AI 19
Chapter 3 A Step-by-Step Guide to Creating Effective Prompts 33
Chapter 4 Diving Deeper: Structure and Nuances of Prompts 47
Chapter 5 Prompt Engineering across Industry 63
Chapter 6 Practical Guide to Prompt Engineering 83
Chapter 7 Ethical Considerations in Prompt Engineering 103
Chapter 8 Application- Specific Prompt Engineering 123
Chapter 9 Advanced Topics in Prompt Engineering 143
Chapter 10 Prompt Engineering with OpenAI ChatGPT 163
Chapter 11 Exploring Prompts with ChatGPT 177
Chapter 12 Getting Creative with DALL- E 193
Chapter 13 Text Synthesis with CTRL 205
Chapter 14 Learning Languages with T2T (Tensor2Tensor) 217
Chapter 15 Building Blocks with BERT 231
Chapter 16 Voice Synthesis with Tacotron 245
Chapter 17 Transformers in Music with MuseNet 259
Chapter 18 Generating Images with BigGAN 273
Chapter 19 Creating Code with Codex 287
Chapter 20 Generating 3D Art with RunwayML 303
Chapter 21 DeepArt and Artistic Prompts 319
Chapter 22 Midjourney 333
Chapter 23 Google Bard 345
Chapter 24 Deepfaking with DeepFaceLab 357
Chapter 25 Image Editing with DeepArt Effects 373
Chapter 26 Content Generation with AIVA 387
Chapter 27 Audio Synthesis with WaveNet 401
Chapter 28 Image Classification with ImageNet 415
Chapter 29 Video Synthesis with VQ- VAE 429
Chapter 30 Your Future in Prompt Engineering 445
Acknowledgments 461
Ian Khan-The Futurist 463
| Erscheinungsjahr: | 2024 |
|---|---|
| Fachbereich: | Management |
| Genre: | Importe, Wirtschaft |
| Rubrik: | Recht & Wirtschaft |
| Medium: | Taschenbuch |
| Inhalt: | 480 S. |
| ISBN-13: | 9781394243327 |
| ISBN-10: | 1394243324 |
| Sprache: | Englisch |
| Einband: | Kartoniert / Broschiert |
| Autor: | Khan, Ian |
| Hersteller: | Wiley |
| Maße: | 227 x 151 x 34 mm |
| Von/Mit: | Ian Khan |
| Erscheinungsdatum: | 26.03.2024 |
| Gewicht: | 0,576 kg |
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