AI Architecture & System Design

Designing production LLM systems: latency, cost, reliability, guardrails and evaluation.

• A framework for AI system design interviews10 min
• Latency, cost and reliability9 min
• Guardrails, safety and prompt injection9 min

Retrieval-augmented generation end to end: chunking, embeddings, indexes, reranking and evaluation.

• The RAG pipeline end to end11 min
• Embeddings and vector indexes9 min
• Evaluating RAG systems7 min

Building production LLM applications: tool use, agent loops, MCP, streaming, context management, rate limits and testing.

• Prompt engineering for engineers8 min
• Tool use, streaming and agents11 min
• Testing and evaluating LLM applications7 min