Tag: Embedding

  • The Future of Text Embeddings: Trends, Challenges, and Innovations

    Text embeddings have become a cornerstone in natural language processing (NLP), enabling machines to understand and process human language effectively. With the advent of large language models (LLMs) and applications like retrieval-augmented systems, the demand for high-quality, universal text embeddings has surged. A recent comprehensive review by Hongliu Cao delves into the advancements in universal…