BGE (BAAI general embedding)

BGE (BAAI General Embedding) is a large-scale pre-trained embedding model developed by the Beijing Academy of Artificial Intelligence (BAAI) designed to generate high-quality vector representations for various data types. It serves as a foundational model for natural language processing and other AI applications.

Read More →

AI research at Microsoft

AI research at Microsoft encompasses the company’s extensive efforts to develop and advance artificial intelligence technologies across various domains. It involves foundational research, applied projects, and collaborations aimed at integrating AI into Microsoft products and services.

Read More →

Dense passage retrieval (DPR)

Dense passage retrieval (DPR) is a neural information retrieval technique that uses dense vector representations to find relevant text passages. It improves over traditional sparse retrieval methods by encoding queries and documents into continuous embeddings, enabling efficient and accurate retrieval in large-scale text collections.

Read More →