Large language models (LLMs) are poised to have a disruptive impact on health care. Numerous studies have demonstrated ...

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@inproceedings{bert-score, title={BERTScore: Evaluating Text Generation with BERT}, author={Tianyi Zhang* and Varsha Kishore* and Felix Wu* and Kilian Q. Weinberger and Yoav Artzi}, ...

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Here is the PyTorch version: The tokenizer is responsible for all the preprocessing the pretrained model expects and can be called directly on a single string (as in the above examples) or a list. It ...

Large Language Models (LLMs) are primarily designed for text-based tasks, limiting their ability to interpret and generate multimodal content such as images, videos, and audio. Conventionally, ...

Traditional approaches to training language models heavily rely on supervised fine-tuning, where models learn by imitating correct responses. While effective for basic tasks, this method limits a ...