Tag
Evaluation Framework
English articles and guides tagged Evaluation Framework.
Panorama of AI programming ability evaluation: from HumanEval to SWE-bench, the evolution and selection of benchmarks
Public benchmarks are not a decoration for model rankings, but a measurement tool for understanding the boundaries of AI programming capabilities. This article starts from benchmarks such as HumanEval, APPS, CodeContests, SWE-bench, LiveCodeBench and Aider, and explains how to read the rankings, how to choose benchmarks, and how to convert public evaluations into the team's own Coding Mentor evaluation system.
Practical cases: feedback protocol, evaluation closed loop, code review and programming education data
Case studies should not stop at “how to use AI tools better”. This article uses four engineering scenarios: model selection evaluation, feedback protocol design, code review signal precipitation, and programming education data closed loop to explain how humans can transform the AI collaboration process into evaluable, trainable, and reusable mentor signals.
Original interpretation: Agent quality assessment - the cornerstone of trust in the AI era
In-depth analysis of the essential challenges of Agent quality assessment and why quality engineering is the key to determining the success or failure of AI products