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

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

ChatGPT exploded into the world in the fall of 2022, sparking a race toward ever more advanced artificial intelligence: GPT-4, Anthropic’s Claude, Google Gemini, and so many others. Just yesterday, ...

Japanese AI laboratory Sakana AI has developed a new evolutionary algorithm called "Natural Ecological Niche Model Fusion" ...

"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 ...

Chinese researchers have, for the first time, completed the full-process training and inference of a native brain-inspired spiking large model, SpikingBrain-1.0, on a domestically developed GPU ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Senyo Simpson discusses how Rust's core ...

That’s where post-training comes in. Post-training is the process of fine-tuning the model to make its answers more readable, concise, and human-sounding.

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.