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For more details please refer to our Github: [FlagEmbedding](https://github.com/FlagOpen/FlagEmbedding).
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**BGE-EN-
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- In-context learning ability: By providing few-shot examples in the query, it can significantly enhance the model's ability to handle new tasks.
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- Outstanding performance: The model has achieved state-of-the-art (SOTA) performance on both BEIR and AIR-Bench.
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- [ ] Evaluation Pipeline
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- [ ] Technical Report
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We will release the technical report and training data for **BGE-EN-
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## Usage
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For more details please refer to our Github: [FlagEmbedding](https://github.com/FlagOpen/FlagEmbedding).
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**BGE-EN-ICL** primarily demonstrates the following capabilities:
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- In-context learning ability: By providing few-shot examples in the query, it can significantly enhance the model's ability to handle new tasks.
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- Outstanding performance: The model has achieved state-of-the-art (SOTA) performance on both BEIR and AIR-Bench.
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- [ ] Evaluation Pipeline
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- [ ] Technical Report
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We will release the technical report and training data for **BGE-EN-ICL** in the future.
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## Usage
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