A large update to MLPug:
- significantly improved and extended the metric evaluation pipeline,
- made the use of PyTorch more efficient, added the use of `torch.compile`
- added a lot of features to MLPug with Tensorflow backend, such as gradient accumulation through batch chunking.
- A new, much more complex training example was added, finetuning GPT2 as a persona chatbot.