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Forget black box sentiment analysis: ABSA-R1 uses RL to make LLMs explain *why* they feel a certain way, boosting both accuracy and interpretability.
Sema Code unlocks AI coding agents from specific interfaces, offering a programmable core that can be embedded into any runtime environment.
Open-source SemaClaw offers a blueprint for building production-ready personal AI agents, shifting the focus from raw model capabilities to robust harness engineering.
