Meet KaLM-Embedding: A Series of Multilingual Embedding Models Built on Qwen2-0.5B and Released Under MIT
Multilingual applications and cross-lingual tasks are central to natural language processing (NLP) today, making robust embedding models essential. These models underpin systems like retrieval-augmented generation and other AI-driven solutions. However, existing models often struggle with […]