AI transformers have revolutionized natural language processing by utilizing tokens and embeddings, which serve as the foundational elements of understanding language. Tokens function as the atomic units of sentences, allowing for the dissection and analysis of language. Embeddings then provide context and meaning to these tokens, enabling transformers to piece together linguistic structures effectively. The analogy of language as a LEGO system simplifies the concept, illustrating how basic components build intricate meaning in communication.
Tokens are the building blocks of language, akin to atoms in a molecule, allowing AI transformers to process and understand linguistic structures.
Embeddings act as a universal descriptor for tokens, giving them identity and context, much like unique colors or shapes in a LEGO set.
Collection
[
|
...
]