谷歌近日推出了一个名为Cappy的模型评分框架，该框架以RoBERTa语言模型为基础，旨在通过检测模型输出的内容并为其打分，来帮助模型更智能地学习。Cappy框架不仅能够评估内容，还能作为大型语言模型的“候选机制”，内置于模型中，为预输出内容打分，并选择分数最高的回应作为最终输出，从而提高大型语言模型输出内容的正确性。这一创新工具的发布标志着人工智能领域的又一进步，为提高AI模型的准确性和智能水平提供了新的可能性。
Title: Google Unveils Cappy Scoring Framework for Smarter AI
Keywords: Cappy Scoring Framework, AI Evaluation, Intelligent Learning
News Content:
Google has recently introduced a model scoring framework named Cappy, which is based on the RoBERTa language model. The framework aims to enhance the intelligence of models by detecting and scoring the output content, allowing models to learn smarter. Cappy is not only capable of evaluating content, but also serves as a “candidate mechanism” for large language models. By being embedded within the model, Cappy scores pre-output content and selects the response with the highest score as the final output, thus improving the correctness of output content from large language models. The launch of this innovative tool marks another advancement in the field of artificial intelligence, providing new possibilities for enhancing the accuracy and intelligence of AI models.
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