AI
The difference between embeddings and tokens and why it matters
Tokens are discrete text fragments for parsing input, while embeddings are continuous numerical coordinates mapping semantic meaning.
tokens
Everything AppSec Scoop has reported about tokens: 2 stories, newest first. Part of our AI coverage.
AI
Embeddings vs Tokens: Structural Differences and Security Implications
Tokens preserve exact syntax while embeddings capture semantic meaning, creating distinct attack surfaces for model inversion and data leakage.