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@@ -38,6 +38,7 @@ We explore **continued pre-training on domain-specific corpora** for large langu
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  ### πŸ€— [2024/6/21] We release the 2nd version of AdaptLLM at [Instruction-Pretrain](https://huggingface.co/instruction-pretrain), effective for both general pre-training from scratch and domain-adaptive continual pre-training!!! πŸ€—
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  **************************** **Updates** ****************************
 
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  * 2024/6/21: πŸ‘πŸ» Released the 2nd version of AdaptLLM at [Instruction-Pretrain](https://huggingface.co/instruction-pretrain) πŸ‘πŸ»
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  * 2024/4/2: Released the raw data splits (train and test) of all the evaluation datasets
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  * 2024/1/16: πŸŽ‰ Our [research paper](https://huggingface.co/papers/2309.09530) has been accepted by ICLR 2024!!!πŸŽ‰
 
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  ### πŸ€— [2024/6/21] We release the 2nd version of AdaptLLM at [Instruction-Pretrain](https://huggingface.co/instruction-pretrain), effective for both general pre-training from scratch and domain-adaptive continual pre-training!!! πŸ€—
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  **************************** **Updates** ****************************
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+ * 2024/6/22: Released the [benchmarking code](https://github.com/microsoft/LMOps/tree/main/adaptllm).
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  * 2024/6/21: πŸ‘πŸ» Released the 2nd version of AdaptLLM at [Instruction-Pretrain](https://huggingface.co/instruction-pretrain) πŸ‘πŸ»
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  * 2024/4/2: Released the raw data splits (train and test) of all the evaluation datasets
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  * 2024/1/16: πŸŽ‰ Our [research paper](https://huggingface.co/papers/2309.09530) has been accepted by ICLR 2024!!!πŸŽ‰