Kavli Affiliate: Feng Wang | First 5 Authors: Saba Sturua, Isabelle Mohr, Mohammad Kalim Akram, Michael Günther, Bo Wang | Summary: We introduce jina-embeddings-v3, a novel text embedding model with 570 million parameters, achieves state-of-the-art performance on multilingual data and long-context retrieval tasks, supporting context lengths of up to 8192 tokens. The model includes a […]
Continue.. jina-embeddings-v3: Multilingual Embeddings With Task LoRA