Prompt Engineering
Notes on Prompt Engineering for ML platform / Applied AI interview preparation. The file index below shows what's in scope; click through to the individual notes for the depth.
Interview talking points
- Skim the file index below for the questions this folder helps answer.
- Cross-reference notes on related topics from the home page.
Files in this folder
| File | Title |
|---|---|
| 01-prompt-design-principles.md | 01. Prompt Design Principles |
| 02-intent-specific-prompt-patterns.md | 02. Intent-Specific Prompt Patterns |
| 03-foundational-model-optimization-techniques.md | 03. Foundational Model Optimization Techniques |
| 04-rag-prompt-integration.md | 04. RAG Prompt Integration |
| 05-guardrails-and-prompt-hardening.md | 05. Guardrails and Prompt Hardening |
| 06-failure-scenarios-and-workarounds.md | 06. Failure Scenarios and Workarounds |
| 07-prompt-evaluation-versioning-and-regression.md | 07. Prompt Evaluation, Versioning, and Regression |
| README.md | Prompt Engineering for MangaAssist |
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