Word Embeddings

A collection of 2 posts

In the World of NLP: Understanding Word Embeddings (Part 2)

Dive into the evolution of word embeddings, from CBOW to Skip-gram, and witness a quantum leap with transformers. Explore the architecture of transformers, including BERT and GPT, and grasp the power of contextualized embeddings.

In the World of NLP: Understanding Word Embeddings (Part 1)

In this exploration of word embeddings and foundational techniques in NLP, the focus is on converting textual data into numerical representations for computational understanding. They represent words in a continuous vector space, capturing semantic relationships and contextual nuances.