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README.md
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@@ -22,6 +22,7 @@ We explore **continued pre-training on domain-specific corpora** for large langu
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### π€ [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!!! π€
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**************************** **Updates** ****************************
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* 2024/6/21: ππ» Released the 2nd version of AdaptLLM at [Instruction-Pretrain](https://huggingface.co/instruction-pretrain) ππ»
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* 2024/1/16: π Our [research paper](https://huggingface.co/papers/2309.09530) has been accepted by ICLR 2024!!!π
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* 2023/12/19: Released our [13B base models](https://huggingface.co/AdaptLLM/law-LLM-13B) developed from LLaMA-1-13B.
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### π€ [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!!! π€
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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: ππ» Released the 2nd version of AdaptLLM at [Instruction-Pretrain](https://huggingface.co/instruction-pretrain) ππ»
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* 2024/1/16: π Our [research paper](https://huggingface.co/papers/2309.09530) has been accepted by ICLR 2024!!!π
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* 2023/12/19: Released our [13B base models](https://huggingface.co/AdaptLLM/law-LLM-13B) developed from LLaMA-1-13B.
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