There are seven key patterns. They’re also organized along the spectrum of improving performance vs. reducing cost/risk, and closer to the data vs. closer to the user.

• Evals: To measure performance
• RAG: To add recent, external knowledge
• Fine-tuning: To get better at specific tasks
• Caching: To reduce latency & cost
• Guardrails: To ensure output quality
• Defensive UX: To anticipate & manage errors gracefully
• Collect user feedback: To build our data flywheel

Addendum: how to match these LLM patterns to potential problems