Recall the key dataset moves that separate usable demonstrations from noisy exports.
What is a fine-tuning example actually teaching the model? A behavior pattern to imitate, not a warehouse of changing facts to memorize. If the value of the example is mainly that it contains a moving policy fact, that fact probably belongs in retrieval instead. Which dataset is stronger? Balance beats bulk. The stronger dataset makes the boundary visible, not just the dominant pattern. “We can just export old transcripts and call it a training set.” A teammate wants to skip curation because the archive is large. “Raw logs are source material, not demonstrations. We should only train on responses we…
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