IBM advocates for open innovation in corporate machine learning

IBM advocates for open innovation in corporate machine learning

Blog Article

At the VentureBeat conference, IBM's Cox presented a persuasive rationale for transparent advancement in enterprise machine learning. Cox, VP of machine learning frameworks and leader at the collaborative research center, emphasized the significance of transparency in innovation, notably in the current machine learning environment.
David highlighted the nuanced nature of openness in artificial intelligence, questioning the simplistic perception of the idea. He noted the burgeoning community of transparent systems from multiple providers, including industry leaders, research centers, and governments.
Nonetheless, he articulated worries about the nature of transparency in numerous Large Language Models, noting that some deliver little more than a set of numerical values devoid of clarity in their development processes.