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KAT-Coder-V2.5 outperforms existing models in agentic tool-use, showcasing a new paradigm for autonomous coding agents within executable environments.
Unlocking the latent potential of timestep embeddings allows for a parameter-free, single-model approach to multi-task learning that rivals traditional, heavier methods.
