Discover how large language models with only 775 million parameters are surprisingly capable of learning and using tools. We break down the latest research and what this means for the future of AI ...
Abstract: In recent years, machine learning (ML) tasks have been widely deployed at the edge of wireless networks, e.g., autonomous cars and tactile robots. However, the impairments of wireless ...
Abstract: We theoretically analyze the optimization of the hyper parameter that maximizes NGMI in a simple-soft-output MLSE scheme for SD-FEC and show that the experimental results fit well with the ...
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