Word Vectors Explained
Discover how words are transformed into vectors through semantic meaning, with closer associations between similar terms. Explore the concept of tokens, which can be smaller than words and often include sub-word tokens for better representation. The discussion also touches on positional encoding, essential for understanding the sequence of these tokens in language models.In this clip
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