> For the complete documentation index, see [llms.txt](https://blog.sunilgudivada.dev/notebook/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://blog.sunilgudivada.dev/notebook/transformers-and-llms/token-represenation.md). # Token Represenation One hot encoding -> vector representation of 0, 1 Learned embedding ### **Word2Vec** Neural network with a proxy task over billions of words worth of text learns an embedding layer **Proxy tasks:** Continuous bag of words `A` `Cute` teddy bear `is` `reading` Skip Gram A Cute `teddy bear` is reading Cross Entrophy -> it will determine how far off you are from the true answer epoch -> number of times model sees the training set --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://blog.sunilgudivada.dev/notebook/transformers-and-llms/token-represenation.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.