Annotation tooling attracts more folklore than almost any part of the ML pipeline. Here are the durable misconceptions, why they spread, and what the evidence actually shows.
A narrative walkthrough of a single fine-tuning project on a real platform, covering the situation, the decision, the execution, the measured outcome, and the lessons.
Walk through specific scenarios where teams fine-tuned models on real platforms, what made each project succeed or stall, and the patterns you can borrow.
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