AI
Guardrails for LLM Apps: Input/Output Filtering and Injection Defense
Layered defenses against prompt injection, unsafe outputs, and data leakage in production LLM applications, and where each layer actually helps.
3 min read
Tag
Prompt Engineering
4 articles
AI
Structured Outputs from LLMs: JSON Schemas and Validation
How to reliably get valid, typed JSON out of an LLM in production, from schema-constrained decoding to validation and repair strategies.
3 min read
AI
Fine-Tuning vs RAG vs Prompting: A Decision Framework
A practical framework for deciding whether your LLM problem needs prompting, retrieval, fine-tuning, or some combination of the three.
3 min read
AI
Prompt Engineering Patterns That Survive Model Upgrades
Prompting techniques and habits that keep working across model version bumps, plus the brittle patterns that quietly break every upgrade.
3 min read