Despite their prevalence in deep-learning communities, over-parameterized models convey high demands of computational costs for proper training.

This simple generative task requires a model to copy binary symbols over long-range dependencies, ignoring the tokens in between. We find that Transformer FFLMs suffer from a long tail of sporadic reasoning errors, some of which we can eliminate using various regularization techniques.

Almost all works that study market dynamics consider synchronous dynamics.

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A man has been arrested as a suspect in setting the Pacific Palisades fire in Los Angeles that killed 12 people and destroyed more than 6,000 homes in January. Justice department officials announced at a news conference that 29-year-old Jonathan Rinderknecht had been detained. They said evidence collected from his digital devices showed an image he generated on ChatGPT depicting a burning city. The fire was sparked on 7 January near a popular hiking trail overlooking the wealthy coastal neighbourhood. The Eaton Fire, ignited the same day in the Los Angeles area, killed another 19 people and destroyed about 9,400 structures, officials said.

Aligning language models (LMs) with preferences is an important problem in natural language generation.