5 articles tagged with Evaluation
A hands-on TypeScript tutorial for building an LLM evaluation harness: deterministic scorers, an LLM-as-judge rubric scorer, a concurrent runner with retries, and a CI regression gate — provider-agnostic, fully tested.
HalluHard 2026 and a year of production telemetry now agree on something uncomfortable — the same chain-of-thought that makes frontier models better at hard problems makes them measurably worse at staying faithful to the documents in front of them. This is the central deployment problem of 2026.
A hands-on TypeScript tutorial for a CI-integrated eval harness that gates LLM releases on capability, safety, and regression checks — the discipline CAISI now requires from labs.
A complete hands-on tutorial for building a production-viable AI evaluation harness in TypeScript, covering endpoint abstraction, ground-truth management, scoring pipeline design, variance analysis, and the reporting layer. Includes working code and a GitHub companion repository.
Public benchmarks are increasingly contested, vendor-biased, or methodology-fragile. The quiet response from serious engineering organizations is the private eval harness - a tailored evaluation rig run against their own workload. The harness is becoming the load-bearing instrument of AI vendor selection, and the companies building them first are acquiring a durable strategic advantage.