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improve training and model data

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Dobromir Popov
2025-07-07 15:48:25 +03:00
parent 271e7d59b5
commit 2d8f763eeb
16 changed files with 2047 additions and 1699 deletions
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_dev/dev_notes.md
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@ -77,3 +77,8 @@ use existing checkpoint manager if it;s not too bloated as well. otherwise re-im
we should load the models in a way that we do a back propagation and other model specificic training at realtime as training examples emerge from the realtime data we process. we will save only the best examples (the realtime data dumps we feed to the models) so we can cold start other models if we change the architecture. if it's not working, perform a cleanup of all traininn and trainer code to make it easer to work withm to streamline latest changes and to simplify and refactor it