Generative AI Evaluation and Cost Optimization focuses on measuring LLM quality, improving AI response accuracy and reducing infrastructure costs in production AI systems. It covers prompt evaluation, hallucination reduction, token optimization, caching strategies, API usage monitoring and performance benchmarking using OpenAI Evals, Hugging Face Evaluate and LangSmith.
