Weights & Biases is the leading AI developer platform to train and fine-tune models, manage models from experimentation to production, and track and evaluate GenAI applications powered by LLMs.
Easily track & save the performance of your deep learning models. In < 5 lines of code, integrate Keras, Tensorflow, Pytorch, or Fastai models so that every hyperparameter & metric is saved each time code runs.
Hyperparameter tuning is a way to find the best machine learning model. We make it ridiculously easy to run hyperparameter sweeps using simple algorithms like grid search, to more modern approaches like bayesian optimization and early stopping.
When the loss goes down the model gets more gooder, so ofc we like it when we can view lots of lines together in one place (and store terrabytes of validation samples)
This simple system of record automatically saves logs from every experiment, making it easy to look over the history of your progress and compare new models with existing baselines.
