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Producing task-specific large language models requires discovering effective training strategies through experimentation. Automated fine-tuning systems have made this experimentation feasible with far less manual effort. However, these systems are stateless: each search discards its discovered strategies, dataset insig...
As AI agents become participants in the development of their successors, they reshape both the production of intelligence and the role of human researchers. We introduce Atria Dawn Preview, a foundation agentic language model designed for scientific research and engineering workflows, with the goal of expanding the fro...
EntangleCodec is proposed, a unified discrete audio tokenizer that learns caption-aligned semantic-acoustic representations before quantization that achieves reconstruction quality competitive with specialized codecs, outperforms all codec-based baselines on audio understanding, and supports both TTS and TTA generation...
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