Resources

This page provides a curated collection of tools, templates, definitions, tutorials, and external resources to deepen your expertise in AI prompt engineering.

🧭 Prompt Tools and Repositories

• Prompt Templates Matrix: A categorized visual map of AI prompt types and their functions.
• Prompt Template Definitions: A glossary of terms and structures with examples and use cases.
• Prompt Repository: A centralized hub for accessing, storing, and organizing prompt templates.

🛠️ Troubleshooting & Optimization

• Tips to simplify, format, and refine prompts for better performance.
• Best practices for debugging, testing variations, and monitoring model behavior.
• Techniques for reducing hallucinations and improving reliability.

📘 Guidelines and Conventions

• Formatting tips, syntax rules, ethical considerations, and clear examples.
• Standards for clarity, tone, specificity, and audience targeting.

📚 Learning Resources

• Courses: Coursera, DeepLearning.AI, DataCamp, Prompt Engineering Hub (GitHub)
• Books: Generative AI Professional Prompt Engineering Guide (Leanpub)
• Glossary: A full glossary of key terms used throughout the book.

🎧 Podcasts & Videos

→ Visit the Podcast Page

📄 Research Papers

• Explore innovations in prompting such as Graph of Thoughts, Algorithm of Thoughts, Contrastive Chain-of-Thought, and more.
• Topics include emotional stimuli, ethical prompting, hallucination correction, and in-context learning.