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Mastering Prompt Engineering. 2025, #1
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- FormatePub
- ISBN8317398088
- EAN9798317398088
- Date de parution10/04/2025
- Protection num.pas de protection
- Infos supplémentairesepub
- ÉditeurDavor Mulalić
Résumé
Are your interactions with AI hitting a wall? Getting useful, reliable, and precisely tailored results requires more than just asking basic questions. "Mastering Prompt Engineering" is your practical workshop, specifically designed for experts in fields like marketing, research, education, and business-advanced non-coders who want to leverage AI's full potential without writing code. This manual demystifies the craft of prompt engineering, moving beyond simple requests to deliberate design.
Discover the crucial mindset and workflow, learn to dissect the anatomy of effective prompts using the 'Five Pillars' (Context, Instructions, Examples, Constraints, Delimiters), and master both foundational (Zero-Shot, Few-Shot) and advanced techniques (Chain-of-Thought, RAG principles for research). Explore tangible analogies - architectural blueprints, clockwork mechanisms, a watchmaker's patience - instead of dense technical jargon.
Learn to structure interactions for clarity and security, tackle domain-specific challenges like coding assistance and research analysis, optimize and debug your prompts systematically, and navigate vital ethical considerations like bias mitigation. Packed with real-world scenarios, case studies, and practical blueprints, this guide empowers you to skillfully direct AI, transforming inconsistent outputs into remarkable, reliable results.
Discover the crucial mindset and workflow, learn to dissect the anatomy of effective prompts using the 'Five Pillars' (Context, Instructions, Examples, Constraints, Delimiters), and master both foundational (Zero-Shot, Few-Shot) and advanced techniques (Chain-of-Thought, RAG principles for research). Explore tangible analogies - architectural blueprints, clockwork mechanisms, a watchmaker's patience - instead of dense technical jargon.
Learn to structure interactions for clarity and security, tackle domain-specific challenges like coding assistance and research analysis, optimize and debug your prompts systematically, and navigate vital ethical considerations like bias mitigation. Packed with real-world scenarios, case studies, and practical blueprints, this guide empowers you to skillfully direct AI, transforming inconsistent outputs into remarkable, reliable results.
