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Boosting Language Models with Pathways
Pathways is a novel framework designed to effectively train massive language models (LLMs) at an unprecedented scale. The core objective of Pathways is to resolve the challenges present with scaling LLMs, particularly in terms of computational demands. By leveraging a decentralized architecture, Pathways enables the development of models with billi
B-Tree Successor with one hundred twenty-three billion Key Range Queries
Dealing with massive datasets presents unique challenges, particularly when it comes to efficiently retrieving specific ranges of data. B-trees, renowned for their logarithmic search time complexity, offer a powerful solution for indexing and querying large key ranges. However, as the scale of data escalates to astronomical proportions, such as one