Pathways is a novel framework designed to effectively develop massive language models (LLMs) at an unprecedented scale. The primary objective of Pathways is to mitigate the challenges associated with growing LLMs, particularly in terms of memory constraints. By leveraging a modular architecture, Pathways supports the training of models with quadril… Read More

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 grows to massive proportions, such as terabytes, c… Read More