We will discuss word embeddings this week. Word embeddings represent a fundamental shift in natural language processing (NLP), transforming words into dense vector representations that capture ...

Word embeddings are directly responsible for many of the exponential advancements natural language technologies have made over the past couple years. They’re foundational to the functionality of ...

In this video, we will learn about training word embeddings. To train word embeddings, we need to solve a fake problem. This problem is something that we do not care about. What we care about are the ...

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English look at AI and the way its text generation works. Covering word generation and tokenization through probability scores, to help ...

Bilingual word embeddings (BWEs) play a very important role in many natural language processing (NLP) tasks, especially cross-lingual tasks such as machine translation (MT) and cross-language ...

The data inputs that enable modern search and recommendation systems were thought to be secure, but an algorithm developed by ...