EXPANDING LANGUAGE MODELS WITH PATHWAYS

Pathways is a novel framework designed to effectively train massive language models (LLMs) at an unprecedented scale. The central objective of Pathways is to address the challenges associated with scaling LLMs, particularly in terms of computational constraints. By leveraging a decentralized architecture, Pathways supports the development of models

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 123B, conven