#model-training

#model-training

Anthropic is making some big changes to how it handles user data, requiring all Claude users to decide by September 28 whether they want their conversations used to train AI models. While the company directed us to its blog post on the policy changes when asked about what prompted the move, we've formed some theories of our own. But first, what's changing: previously, Anthropic didn't use consumer chat data for model training.

"Conventionally, your data is either in or out. Once I train on that data, you lose control. And you have no way out, unless you force me to go through another multi-million-dollar round of training."

Keras offers a high-level API built on top of tf.Module, enhancing model complexity through optional losses, metrics, and configurable saving options, fostering seamless training.

In our head-to-head experiments, we observe that offline contrastive training offers a more valuable training signal than traditional SFT methods, demonstrating its effectiveness in model performance.