#benchmarking

Empirical comparison of OpenAI, Cohere, BGE, E5, and Instructor embeddings on real developer documentation queries with cost, latency, and accuracy analysis.

How to create custom evaluations, model-graded assessments, and domain-specific benchmarks that actually predict real-world performance

Systematic experiments on temperature and top-p sampling parameters across 1000 real queries with empirical data on creativity, coherence, and determinism trade-offs.