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Update README.md

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  ---
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  # Introduction
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- We introduce **Elb**edding, ...
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- For more technical details, refer to our paper: ...
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  # Model Details
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- - Base Decoder-only LLM: ...
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  - Pooling Type: Last EOS Token
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  - Maximum context length: 512
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  - Embedding Dimension: 4096
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  ## Supported Languages
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- ...
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  ## MTEB Benchmark Evaluation
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- ...
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  ## FAQ
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  Yes, this is how the model is trained, otherwise you will see a performance degradation. On the other hand, there is no need to add instructions to the document side.
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  ## Citation
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- ...
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  ## Limitations
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- ...
 
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  ---
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  # Introduction
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+ We introduce **Elb**edding, *TBD*
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+ For more technical details, refer to our paper: *TBD*
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  # Model Details
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+ - Base Decoder-only LLM: *TBD*
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  - Pooling Type: Last EOS Token
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  - Maximum context length: 512
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  - Embedding Dimension: 4096
 
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  ## Supported Languages
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+ *TBD*
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  ## MTEB Benchmark Evaluation
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+ *TBD*
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  ## FAQ
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  Yes, this is how the model is trained, otherwise you will see a performance degradation. On the other hand, there is no need to add instructions to the document side.
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  ## Citation
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+ *TBD*
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  ## Limitations
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+ *TBD*