Live Breaking News & Updates on Reduce Model Size

Featuring rapid communication capabilities, this new LLM generates answers 3 times faster than conventional LLMs, and is aimed towards contact centers and corporate help desks

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Hiromichi Nozaki , Microsoft Research , Microsoft Research Asia , Retentive Network Retnet , Microsoft Japan Co Ltd , Technology Inc , Japanese English Large Language Models , Retentive Network , First Japanese English , Managing Executive Officer , Chief Technology Officer , Microsoft Japan , Hugging Face , Graphics Processing , Large Model Training Landscape , Large Model Inference , Reduce Model Size ,