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Move beyond binary “safe/unsafe” in your LLM evaluations. Learn how tricategorical reasoning rewards responsible restraint and ethical uncertainty, improving AI safety and reliability.

EMNLP 2025 spotlights dialects, variants, and code-switching. Why closing the dialect gap matters and how ɫ���� builds inclusive data and evaluation.

Understand the differences between agentic AI and generative AI, including their goals, architectures, and applications in modern AI systems.

Sociophonetics explains how accent, rhythm, and pronunciation encode social meaning. Learn why this matters for ASR/TTS fairness - plus how ɫ����’s audio data expertise reduces accent bias and improve model accuracy.

Learn how agentic AI applies autonomous agents to streamline complex processes, delivering greater productivity and transformative innovation.

ɫ����’s latest research reveals Claude Sonnet 3.5 resisted adversarial prompting by refusing more often. Should benchmarks reward silence instead of penalizing it?