“The Model Isn’t Good Enough” Wasn’t Enough of an Answer
中文摘要
分享如何将视觉语言模型的糟糕结果转化为可测试的假设，以优化性能，而非简单地认为模型不足。
English Summary
Learn to optimize vision-language models by turning poor results into testable hypotheses rather than simply blaming the model's quality.
原文节选
How working with vision-language models taught me to turn poor results into testable hypotheses. Continue reading on AI Advances Briefs »