IBM advocates for collaborative advancement in business artificial intelligence

IBM advocates for collaborative advancement in business artificial intelligence

Blog Article

At the VentureBeat conference, International Business Machines' David Cox showcased a compelling argument for open innovation in business machine learning. Cox, VP of machine learning frameworks and leader at the joint MIT and IBM artificial intelligence laboratory, underscored the crucial nature of openness in tech progress, especially in the present AI landscape.
The IBM executive pointed out the complex character of accessibility in machine learning, contesting the two-dimensional understanding of the principle. He observed the burgeoning community of transparent systems from multiple providers, including industry leaders, research centers, and governments.
Nonetheless, he voiced worries about the nature of openness in many Large Language Models, pointing out that a number of them deliver scarcely more than a collection of data points lacking transparency in their production methods.