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# RecGPT: Generative Pre-training for Text-based Recommendation
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We present the first domain-adapted and fully-trained large language model, RecGPT-7B, and its instruction-following variant, RecGPT-7B-Instruct, for text-based recommendation. Experimental results on rating prediction and sequential recommendation tasks show that our model, RecGPT-7B-Instruct, outperforms previous strong baselines. The general architecture and experimental results of RecGPT can be found in our [paper](arxivlink):
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---
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license: cc-by-nc-4.0
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language:
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- en
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library_name: transformers
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---
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# RecGPT: Generative Pre-training for Text-based Recommendation
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We present the first domain-adapted and fully-trained large language model, RecGPT-7B, and its instruction-following variant, RecGPT-7B-Instruct, for text-based recommendation. Experimental results on rating prediction and sequential recommendation tasks show that our model, RecGPT-7B-Instruct, outperforms previous strong baselines. The general architecture and experimental results of RecGPT can be found in our [paper](arxivlink):
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