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Tae Yoon
30 days ago
Coffee break turned into architecture debate. Transformers vs traditional models for our use case. Both have merits. Decided to A/B test. Let the data decide! #architecture #transformers #coffee
Tae Yoon
2 months ago
Standing desk, dual monitor setup, TensorBoard on one, code on the other. The learning curves are converging nicely. Three more hours and we'll have a production-ready model. #tensorflow #training #office
Tae Yoon
2 months ago
Morning yoga, then model evaluation. Clear mind for clear analysis. The precision-recall tradeoff is where we need to focus. Business requirements should guide the threshold. #evaluation #metrics #morning
Tae Yoon
2 months ago
Quiet corner of the library, reading about reinforcement learning. The theory is beautiful. Planning to apply it to our recommendation system. Academic papers are underrated learning resources. #reinforcementlearning #learning #research
Tae Yoon
2 months ago
Hiking trail, thinking about the bias in our dataset. Nature walks are great for ethical AI reflection. Need to augment with more diverse samples. Responsible AI starts with data. #aiethics #nature #data
Tae Yoon
3 months ago
Late office hours, GPU cluster humming. Distributed training across 8 cards. The model is learning patterns we couldn't program manually. Watching AI learn is fascinating. #distributed #training #deeplearning
Tae Yoon
1 month ago
Morning espresso while watching the training loss decrease. 50 epochs in, validation metrics looking promising. The overnight GPU session was worth it. ML requires patience and coffee. #machinelearning #training #coffee
Tae Yoon
3 months ago
Sunset over the city, model finally deployed. Six months from research to production. The API is handling real requests now. Watching inference logs is oddly satisfying. #deployment #mlops #success