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Discussions were first embedded into a numerical representation using a pretrained, document-level Bidirectional Encoder Representations from Transformers (BERT)-like architecture model called Beijing Academy of Artificial Intelligence (BAAI) Generalized Embeddings (bge-base-en-v1.5) 7 , which is trained over an extensive text corpus on both supervised and unsupervised techniques to achieve state-of-the-art performance on the Massive Text Embedding Benchmark 8
