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Search enterprise data assets using LLMs backed by knowledge graphs

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In the context of enterprise data asset search powered by a metadata catalog hosted on services such Amazon DataZone, AWS Glue, and other third-party catalogs, knowledge graphs can help integrate this linked data and also enable a scalable search paradigm that integrates metadata that evolves over time. 80 Launch the stack.

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A New Study from the University of Wisconsin Investigates How Small Transformers Trained from Random Initialization can Efficiently Learn Arithmetic Operations Using the Next Token Prediction Objective

Marktechpost

Perhaps surprisingly, the training objective of the model, which is often an auto-regressive loss based on the prediction of the next token, does not directly encode these objectives. These skills have been explored in depth in earlier studies, along with how they change as training compute scale, data type, and model size.