​Are You Being Benchmaxxed?

Forbes Councils member Katy Wigdahl warns that organizations risk being 'benchmaxxed' by relying on generic AI benchmarks that do not reflect real-world performance, urging them to evaluate models against their own specific use cases. Wigdahl notes that there is no universal winner in AI, only the model that performs best for a given task, and advises companies to design custom evaluation frameworks to avoid costly missteps.

Are You Being Benchmaxxed? By Katy Wigdahl, Forbes Councils MemberSource: Forbes Innovation https://www.forbes.com/innovation/ There is no universal winner in AI; there is only the model that performs best for your specific use case. Get AI news in your inbox Daily digest of what matters in AI.