“Stores” of these objects are created in a common application of the HNSW algorithm used by providers such as (15[1])Pinecone and Chroma. Stanford’s “global” algorithm for creating these objects competes with a Google algorithm that can use either the CBOW or skip-gram architecture (-5[1])for transforming (-5[1])words (15[1]-5[1])to these objects. (15[4]-5[1])These objects (15[1]10[1])name (15[1])a technique (15[1])whose “soft” variant (15[1])uses the hinge loss; (15[1])that technique can use the (*) kernel trick to solve nonlinear problems. (10[1])In the transformer architecture, (-5[1])tokenized (-5[1])data like text is turned into “embeddings” (10[1]-5[1])of these objects. (10[3]-5[3])A linear (10[1])classification (10[3])technique seeks to maximize the margin between classes with a hyperplane defined by “support” types of these (10[1])objects. (10[5])For 10 points, name these rank-one tensors (-5[1])that can be “multiplied” (10[2])using (10[1])the dot (-5[1])product. (10[2])■END■ (10[13]0[2])