Production LLM
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Prompt Injection Detection in Production: What to Alert On
Where injection detection sits in the serving path, which metric to tune (recall at a fixed false-positive rate), and how to shadow-test it.
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Semantic Caching for LLMs: Hit Rates and Failure Modes
Semantic caching uses embedding similarity to improve LLM cache hit rates while requiring careful threshold, tenant scope, TTL, and invalidation controls.
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RAG Observability: Retrieval Metrics and Production Tracing
RAG observability uses context precision, context recall, faithfulness, and full-chain tracing to isolate retrieval and generation failures in production.
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LLM Serving Guardrails: Placement and Failure Policy
LLM serving guardrails as a policy matrix: placement, failure handling, streaming release, telemetry, and the model calls and latency each rail adds.
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LLMOps Best Practices: From Prototype to Production
LLMOps best practices that separate fragile demos from reliable production systems: prompt versioning, observability, evaluation and cost control.