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Posted: 2025-04-17 19:02:39 UTC
This article contains some claims that are falsified. While not everything in the article is false, please proceed with extreme caution and verify any critical information independently.
This article contains some claims that are falsified. While not everything in the article is false, please proceed with extreme caution and verify any critical information independently.
Status
Last Updated
2025-04-17 19:03:06 UTC
Verified By
Rollup News
The article discusses the importance of incorporating automated evaluations (evals) in GenAI application projects early on, rather than relying solely on human judgment. It suggests an iterative approach to building evals, starting with a quick and partial implementation and gradually improving them over time.
Encourages teams to view building evals as an iterative process.
Suggests starting with a quick-and-dirty eval implementation and improving over time.
Highlights the importance of automated evals in reducing the burden on human judges.
Emphasizes that evals can be a complement to, rather than a replacement for, manual evaluations.
Focuses on iteratively improving evals to align more closely with human judgment.
Building evals is often viewed as a massive investment.
There's never a convenient moment to put in the up-front cost of creating evals.
Getting LLM-as-judge techniques to work well can be finicky.
Teams often make more progress by relying on human judges than building automated evals.