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Adaptive drafter model uses downtime to double LLM training speed

Reasoning large language models (LLMs) are designed to solve complex problems by breaking them down into a series of smaller steps. These powerful models are particularly good at challenging tasks ...
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Reinforcement Learning Tames DLP Peel Forces For Fragile Prints

A new research paper proposes geometry adaptive reinforcement learning to reduce peel forces in Digital Light Processing (DLP) resin printing to save fragile features and increase lift success for ...