BAAI /

bge-en-icl

5 DZD in / 1M tokens

bge-en-icl is a 7.11 billion parameter large language model-based embedding model developed by the Beijing Academy of Artificial Intelligence (BAAI), built upon the Mistral-7B backbone. It introduces powerful in-context learning (ICL) capabilities to text embedding generation, allowing users to provide task-specific examples (few-shot prompts) alongside their queries. This eliminates the need for fine-tuning for new tasks while achieving state-of-the-art retrieval and semantic representation performance on benchmarks like MTEB and AIR-Bench.