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Sentiment in social-media conversations is significantly influenced by discourse moves, with specific interventions capable of mitigating negativity or amplifying hostility.
AceSpec transforms edge-cloud LLM inference by turning catastrophic network stalls into efficient local memory lookups, achieving a remarkable 3.52脳 speedup even in low-bandwidth environments.
Achieve nearly 3x faster LLM inference by intelligently splitting the workload between edge devices and the cloud, without any training.
Multilingual embeddings just got a whole lot smaller and faster, with F2LLM-v2 models outperforming larger counterparts while supporting over 200 languages.
