UltraBERT Fits 32K Tokens in One Vector. RIP Chunking?

Every retrieval pipeline starts with the same call: how big is a chunk? Too small, and a chunk loses its context. Too big, and the embedding model cuts it off. DMIS Lab’s UltraBERT-Embed-150M moves that cutoff to 32K tokens.

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