• eval — A repeatable test for AI quality — a set of tasks plus scoring — used the way software teams use test suites, because model output is too variable to judge by eyeballing.

Aggregate leaderboards rarely answer "best for my workload." This one segments human preference votes by role and industry, and documents the weighting and confidence machinery well enough to borrow for internal evals.

• articleFaster Than Light Optimizing Generative Recommender Training Efficiency At Linkedin
• articleContextual Agent Playbooks And Tools How Linkedin Gave Ai Coding Agents Organizational Context
• articleAi Helping Build Better Ai How Agents Accelerate Liger Kernel Engineering
• articleReimagining Linkedins Search Stack

• articleThe Leaderboard Illusionarxiv.org
• videoBenchmaxxing: The Gap Between Benchmark Scores and RealityAI Engineer
• articleGiving your AI a Job InterviewEthan Mollick

Checking sign-in…

Loading comments…