General AI systems, like OpenAI’s GPT, depend on large amounts of training data to improve model accuracy and performance. Research or medical AI applications, which often lack both training data and computing power, can leverage a new model designed to improve the efficiency, relevance and accuracy of AI outputs for more specialized scenarios.
New AI learning model improves stance detection performance and efficiency
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