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Ask, compare and learn from people who run this stuff.

This is where people who run enterprise technology compare notes before a decision: what they’re evaluating, what they’d pick again and what went wrong. Most members are practitioners. Anyone who works for a vendor carries their company’s name on every post.

The bar is specifics over opinions: what you ran, at what scale and what you learned. Moderators check each new member’s first posts.

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Question of the week

What does your model evaluation pipeline actually look like in production?

Offline evals, golden sets, LLM-as-judge, human review: what are you running before a model or prompt change ships, and what has caught real regressions?

Techarda Editors EditorialAI & ML PlatformsNo answers yetAnswer this

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