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UC Berkeley Research Presents a Machine Learning System that Can Forecast at Near Human Levels

A research team from UC Berkeley has developed a novel LM pipeline, a retrieval-augmented language model system specifically designed for forecasting. The system achieved an average Brier score of .179, closely approaching the human aggregate score of …

Meta AI Research Introduces MobileLLM: Pioneering Machine Learning Innovations for Enhanced On-Device Intelligence

MobileLLM is a pioneering approach for optimizing language models (LLMs) for on-device applications, addressing challenges in deployment on mobile and edge devices. It introduces deep and narrow architectural configurations and efficient parameter use,…