Multimodal sensing in physical AI (PAI), sometimes called embodied AI, is the ability for AI to fuse diverse sensory inputs, ...
Precise motion control often requires more than tracking position within a single rotation. Multi-turn encoders provide ...
Abstract: Large Language Models (LLMs) exhibit advanced cognitive and decision-making capabilities, positioning them as a pivotal technology for 6G networks. However, applying LLMs to the ...
Implementing fine-grained separation of duties (Encoder-Prefill-Decode-Generate) for the Qwen Omni 2.5/3 model family to achieve optimal resource utilization and scalability. Leverage vllm kv ...
Train a multimodal chat model that can see and discuss images in multi-round conversations, powered by DeepSpeed distributed training. This workflow trains a vision-language model that combines a ...
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