Greg Coppola’s academic article titled ‘The Quantified Boolean Bayesian Network: Theory and Experiments with a Logical Graphical Model’ was published on February 11, 2024. The article introduces a new model…
Continue readingThis study provides an in-depth review of the evolution of large language model (LLM) training techniques and inference deployment technologies. The paper discusses various aspects of training, including data preprocessing,…
Continue readingThe paper discusses the use of Microscaling (MX) data formats in deep learning applications. MX data formats combine a per-block scaling factor with narrow floating-point and integer types for individual…
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