The recent language model, 123B, has captured significant curiosity within the field of artificial intelligence. This extensive model, instructed on a vast dataset of text and code, possesses remarkable proficiency in interpreting human language. Researchers continuously to unravel the complexities of 123B, aiming to understand how it constructs
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 massive proportions, such as one hund