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PSA: Let your AI training data breathe between runs or it gets weird
I was building a custom chatbot for my small business last month, training it on about 200 support tickets from 2023 in my Denver office. After the third straight training run without clearing the cache, the thing started answering customer questions with random parts of old emails mixed in. One guy asked about shipping times and got back a paragraph about my cat's vet bill. I realized the model was overfitting from all that stacked data, so I wiped the logs, ran a single clean batch overnight, and it worked perfectly the next morning. Has anyone else hit this wall where your AI starts hallucinating old garbage from not resetting between sessions?
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hugo_schmidt2d ago
Trained 400 tickets for my HVAC side gig and had the exact same problem. Third run through the model started throwing in random bits from a complaint about a broken thermostat into every shipping question. I killed the process, wiped the temp directory clean and did a fresh single run with a hard limit of 50 epochs. Took a full 12 hours but it came out clean. The trick for me was also turning off the auto-save checkpoints between batches, they were part of the problem.
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