The Institute of Automation, Chinese Academy of Sciences stated, "Currently, large models based on the Transformer ...

The process begins with feeding an algorithm enormous amounts of data—books, math problems, captioned photos, voice recordings, and so on—to establish the model’s baseline capabilities.

Switzerland has just released Apertus, its open-source national Large Language Model (LLM) that it hopes would be an ...

"Model collapse is a degenerative process affecting generations of learned generative models, in which the data they generate end up polluting the training set of the next generation," Shumailov's ...

“There has been this long-hypothesized failure mode, which is that you'll run your training process, and all the outputs will look good to you, but the model is plotting against you,” says ...

For the first time in more than five years, OpenAI is launching a new open language model that appears to be state of the art.

Chinese researchers have, for the first time, completed the full-process training and inference of a native brain-inspired ...

Underspecification means something different: even if a training process can produce a good model, it could still spit out a bad one because it won’t know the difference. Neither would we.

Google announced the release of the Quantization Aware Training (QAT) API for their TensorFlow Model Optimization Toolkit. QAT simulates low-precision hardware during the neural-network training ...