{
  "id": 18350045,
  "title": "Home-made Evals Just Taste Better",
  "url": "https://urgent.news/2026/11/05/home-made-evals-just-taste-better",
  "topic": "tech",
  "section": "Tech",
  "published": "2026-11-05T18:14:28.000Z",
  "source": {
    "name": "Dev.to",
    "slug": "dev-to",
    "url": "https://dev.to/kigster/home-made-evals-just-taste-better-2d5k"
  },
  "original_language": "en",
  "account": "The source material discusses the importance of rigorous evaluation in assessing language models for practical applications, using the example of tax preparation.\n\nIt highlights a flawed prompt where GPT-4o-mini hallucinated a filing status of \"married_jointly\" when the correct answer was null, indicating a failure to capture the details provided by the user. The author built a tool called llm-evals to evaluate models consistently across various metrics such as accuracy, hallucinations, errors, latency, and cost, allowing for a weighted scoring system to determine the best model for a specific use case.\n\nThe author emphasizes that while store-bought leaderboards may prioritize certain metrics like accuracy or cost, they do not necessarily align with the specific needs of a particular application. The llm-evals suite provides a customizable framework to evaluate models based on the unique failure modes and priorities of each use case, ensuring that the chosen model provides the most accurate and reliable results.",
  "summary": "Note This is a shortened version of the original writing on kig.re — my personal blog. Here is what a real lead typed into a tax-preparation intake form: “Got married in June, haven’t figured out how we’re filing yet. There’s an IRS letter somewhere in a kitchen drawer I haven’t opened. I also deliver groceries on weekends.” Only one fact in that paragraph is clear: the weekend side gig. A model…",
  "key_points": [],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}