BOOSTING LANGUAGE MODELS WITH PATHWAYS

Pathways is a novel framework designed to seamlessly train massive language models (LLMs) at an unprecedented scale. The primary objective of Pathways is to mitigate the challenges inherent with expanding LLMs, particularly in terms of resource demands. By leveraging a decentralized architecture, Pathways facilitates the development of models with

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 unimaginable proportions, such as terabyt