A rigorous QA methodology for LLM-powered and AI-driven products — evaluating non-deterministic outputs, hallucination and safety testing, RAG system validation, adversarial red-teaming, and regression testing as models change under you.
Demystify AI, ML, and LLMs, learn to prompt effectively, and understand AI's real limits — the vocabulary and literacy every QA engineer needs before using AI tools or testing AI systems.