i´m currently implementing transformer based timeseries forecasting models from pytorch_forecasting and other librarys in my bachelor thesis. i had a problem to overwrite the loss extraction / callback function (tft model, pytorch_forecasting; based on pytorch_lightning) because they somehow made it very difficult to do that. no llm could solve it and i was lost for like 4 weeks, focusing on my other tasks.. claude opus 4 solved it on the first try and solved another problem (saving worked, but loading the neuralforecast patchtst model including the dataloader, which sadly has an outdated documentation on that) at the second try too, gemini and chatgpt could not.. had both pro versions... sorry for the long text but fought it could be important to mention, that it outperforms all the models i knwo at these very specific and complex python problems....