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Reinforcement learning can efficiently merge heterogeneous language models in federated ASR, outperforming genetic algorithms and improving character error rate.
CiteLLM offers a LaTeX-integrated agent that grounds claims in trusted academic sources, bypassing LLM hallucinations by using them only for search and ranking, not content generation.
Automate customer service without complex orchestration or sacrificing privacy by using task-oriented flowcharts to guide small, locally deployed language models.
