Information on the Tranco list with ID 664NX| tranco-list.eu
A dive into open chat| wiki.alopex.li
Personal website for some random tidbits I work on| maknee.github.io
Improvements made to triple the query performance of lexical search in Vespa.| Vespa Blog
Human vocabulary comes in free text. In order to make a machine learning model understand and process the natural language, we need to transform the free-text words into numeric values. One of the simplest transformation approaches is to do a one-hot encoding in which each distinct word stands for one dimension of the resulting vector and a binary value indicates whether the word presents (1) or not (0). However, one-hot encoding is impractical computationally when dealing with the entire voc...| lilianweng.github.io
