AI agents help explain other AI systems

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MIT researchers introduce a method that uses artificial intelligence to automate the explanation of complex neural networks.

Researchers from MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) have developed a novel approach that uses AI models to conduct experiments on other systems and explain their behavior. Their method uses agents built from pretrained language models to produce intuitive explanations of computations inside trained networks. To read more,https://news.mit.edu/2024/ai-agents-help-explain-other-ai-systems-0103

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