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PEFT can enable the creation of millions of personalized models, each with unique adaptations, leveraging the power of trillion-parameter foundation models.
LLMs can nail the final answer in code execution but still fail to reason about the steps to get there, exposing a critical flaw in current evaluation methods.
By mapping permutations to a continuous space of "soft ranks," this new diffusion approach makes learning permutation distributions far more tractable, especially for long sequences.
