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Google AI on X: "Fine-tuning pre-trained models is common in NLP, but forking the model for each task can be a burden. Prompt tuning adds a small set of learnable vectors to
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This AI Paper from CMU and Meta AI Unveils Pre-Instruction-Tuning (PIT): A Game-Changer for Training Language Models on Factual Knowledge - MarkTechPost
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Investigation of improving the pre-training and fine-tuning of BERT model for biomedical relation extraction | BMC Bioinformatics | Full Text
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Continual fine-tuning of a pre-trained language model of code. After... | Download Scientific Diagram
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Can prompt engineering methods surpass fine-tuning performance with pre-trained large language models? | by lucalila | Medium
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