Bge En Icl

BGE-EN-ICL is a large language model-based English embedding model developed by BAAI, notable for its integration of in-context learning (ICL) capabilities. By incorporating few-shot examples directly into queries, it enhances semantic representations and adapts effectively to new tasks without additional fine-tuning. This approach has led to state-of-the-art performance on benchmarks such as BEIR and AIR-Bench, demonstrating its efficacy in zero-shot and few-shot retrieval scenarios.