Llm

Core production concerns for building generative AI applications with Amazon Bedrock.

Diagnose AI application failures caused by oversized, incomplete, or poorly prioritized model context.

Evaluate retrieval, generation, safety, reliability, latency, and cost instead of relying on a single model score.

A practical framework for evaluating LLM, RAG, and agent systems before and after production release.

A practical framework for writing, testing, versioning, and evaluating prompts in production AI systems.

A production-oriented introduction to retrieving external information and using it as context for generative AI responses.