AI Briefing#evals
The latest AI and developer news about #evals, with the original source and a short summary.
The latest AI and developer news about #evals, with the original source and a short summary.
The new commands automate eval design and iterative improvements, achieving up to 98.9% accuracy at one-fifth the cost in internal benchmarks.
Defines repeated AI agent behaviors as Markdown specs, used for review and evaluation.
LangChain has released the 'Eval Engineering Skill,' which automatically generates agent evaluations (evals) by analyzing repository structure and execution traces.
Raindrop Workshop provides a local debugger that helps with agent tracing and evaluation.
A self-improvement platform where coding agents repeat creation, improvement, and verification has been introduced.
On 28 Zod tasks, Opus 4.7 had the same pass rate as 4.6 but was faster and more efficient.
It presents a method for iteratively improving agent harnesses by using evals as a training signal.
Agent evals measure multi-turn behavior to catch regressions and quality changes before deployment.
OpenAI has launched AgentKit, a comprehensive toolset that supports building, deploying, and optimizing agents.