Through systematic experiments DeepSeek found the optimal balance between computation and memory with 75% of sparse model ...
Abstract: Large Language Models (LLMs) lack robust memory management for multi-turn dialogues, limiting their effectiveness in personalized applications. We introduce REMIND, a lightweight, modular ...
Abstract: We propose a proof-of-concept augmented reality assembly tutorial application that uses a video-see-through headset to guide the user through assembly instruction steps. It is solely ...
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