#model-training

#model-training

"The customer can set up their own tagging system or we can dynamically create that for them,"

The two companies announced the deal on Thursday, with Anthropic pitching it as "expanded capacity" that the company will use to meet surging customer demand and allow it to conduct "more thorough testing, alignment research, and responsible deployment at scale." Google's take on the deal is that it will enable Anthropic to "train and serve the next generations of Claude models," and involves "additional Google Cloud services, which will empower its research and development teams with leading AI-optimized infrastructure for years to come."

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.