overseas expansion and architecture / TOKEN WIKI
Embedding / vector representation
In one sentence
Embedding maps objects such as text into numerical vectors to express similarity and support tasks such as search and clustering.
Why it matters
Vector spaces generated by different models usually cannot be directly mixed and compared, and the models and processing procedures need to be unified.
Practical considerations
confirms dimensionality, distance measures, domain adaptation and update schemes, and evaluates recall on a business test set. Is
FAQ
Embedding the answer to large model generation?
is not, it is usually a numerical representation used for retrieval or analysis.
