IBM advocates for collaborative advancement in corporate machine learning

IBM advocates for collaborative advancement in corporate machine learning

Blog Article

At VB Transform 2024, International Business Machines' David Cox delivered a convincing case for transparent advancement in enterprise machine learning. The speaker, VP of AI models and head at the joint MIT and IBM artificial intelligence laboratory, stressed the crucial nature of collaboration in innovation, particularly in the current artificial intelligence ecosystem.
David emphasized the multifaceted essence of accessibility in machine learning, contesting the two-dimensional understanding of the principle. He observed the burgeoning community of transparent systems here from multiple providers, including industry leaders, research centers, and governments.
Nonetheless, he articulated worries about the nature of transparency in many Large Language Models, noting that a number of them deliver scarcely more than a set of numerical values lacking transparency in their production methods.