Why Static Embeddings Were Not Enough: The Point Where Meaning Needed Context
Towards AI
•
Generative AI
NLP
The next challenge was harder: giving meaning the ability to change as a sentence unfolds. By the time you understand tokens, embeddings, and Word2Vec, it is tempting to feel like the hardest part of language AI is already behind you. After all, a major miracle has already happened. Text stopped being just text. Words stopped being just labels. Language became something a machine could represent as numbers without immediately destroying all meaning. That is not a small achievement. It is one of the great conceptual turns in modern AI.