Day 13 of 14 35 minPrompt injectionCachingMonitoring
Run LLM apps for real users. Defend against prompt injection, protect sensitive data, cut costs with caching, batching and the right model, and monitor quality, cost and errors.
By the end of today you can
- Explain direct and indirect prompt injection and why filters alone can't stop it
- Design defences - separate data from instructions, limit tool permissions, confirm risky actions
- Protect personal data in prompts and logs
- Reduce cost and latency with the right model, prompt caching, batching and effort
- Monitor an LLM app in production
What's inside
- 4 sections
- 3 diagrams and mind maps
- 3 code examples you can run
- 5-question quiz
- 1Prompt injection
- 2Protecting personal data
- 3Cutting cost and latency
- 4Monitoring in production
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