Prompt Engineering for Generative AI Future-Proof Inputs for Reliable AI Outputs

By:

Phoenix James

Contributor(s):

Taylor Mike

Material type:

TextLanguage: Eng Publication details: O'Reilly Media 2024Description: 401ISBN:

9789355424655

Subject(s):

Computer Programming

DDC classification:

005.1 PHO

Summary: 1. The Five Principles of Prompting 2. Introduction to Large Language Models for Text Generation. 3. Standard Practices for Text Generation with ChatGPT. 4. Advanced Techniques for Text Generation with LangChain 5. Vector Databases with FAISS and Pinecone 6. Autonomous Agents with Memory and Tools. 7. Introduction to Diffusion Models for Image Generation 8. Standard Practices for Image Generation with Midjourney 9. Advanced Techniques for Image Generation with Stable Diffusion 10. Building AI-Powered Applications.

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Cover image	Item type	Current library	Home library	Collection	Shelving location	Call number	Materials specified	Vol info	URL	Copy number	Status	Notes	Date due	Barcode	Item holds	Item hold queue priority	Course reserves
	Books	School of Fashion Technology				005.1 PHO (Browse shelf(Opens below))				22.5%	Available (not for issue)			SOFT-BK-4424

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Previous	004.65 Web Technologies	005.1 GOS AI for Everyone: A Beginner's Handbook for Artificial Intelligence	005.1 MOL Co-Intelligence: Living and Working With AI	005.1 PHO Prompt Engineering for Generative AI Future-Proof Inputs for Reliable AI Outputs	005.1 WOO AI-Driven Leader: Harnessing AI to Make Faster, Smarter Decisions	005.4 Operating Systems	005.5 Microsoft Excel	Next

1. The Five Principles of Prompting
2. Introduction to Large Language Models for Text Generation.
3. Standard Practices for Text Generation with ChatGPT.
4. Advanced Techniques for Text Generation with LangChain
5. Vector Databases with FAISS and Pinecone
6. Autonomous Agents with Memory and Tools.
7. Introduction to Diffusion Models for Image Generation
8. Standard Practices for Image Generation with Midjourney
9. Advanced Techniques for Image Generation with Stable Diffusion
10. Building AI-Powered Applications.

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