IBM advocates for collaborative advancement in corporate machine learning

IBM advocates for collaborative advancement in corporate machine learning

Blog Article

At the VentureBeat conference, IBM's Cox showcased a compelling case for transparent advancement in enterprise artificial intelligence. The executive, Vice President of machine learning frameworks and leader at the joint MIT and IBM artificial intelligence laboratory, stressed the significance of transparency in innovation, notably in the modern machine learning environment.
David emphasized the multifaceted character of transparency in artificial intelligence, questioning the simplistic view of the concept. He pointed out the burgeoning community of transparent systems from diverse origins, including technology corporations, academic institutions, and nation-states.
However, he articulated reservations about the nature of transparency in many Large Language Models, pointing out that website a number of them offer barely more than a "bag of numbers" without openness in their development processes.