LLM-as-a-Judge: I Built One From Scratch, Then Checked It Against Humans
Article summary
Quick briefing — cleaned from the original RSS feed
In Part 1 the model's job was to pick one of 77 labels, so I could check it with == . But most real LLM output isn't like that — it's a paragraph, a summary, a support reply. There's no label to compare against. So people reach for the obvious move: use an LLM to grade the LLM. Show it a question and an answer, ask "how good is this, 1–10?", trust the number. It works shockingly well... right up until it doesn't, in ways that don't show up unless you go looking. I built that judge from scratch…
1Key Takeaways
- In Part 1 the model's job was to pick one of 77 labels, so I could check it with == .
- But most real LLM output isn't like that — it's a paragraph, a summary, a support reply.
- There's no label to compare against.
- So people reach for the obvious move: use an LLM to grade the LLM.
2AIWedia Score
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3Why it matters
Coding AI shifts how fast software ships and how much human review each change needs. DEV — ML reports that in Part 1 the model's job was to pick one of 77 labels, so I could check it with == .
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