IBM advocates for open innovation in corporate machine learning

At VB Transform 2024, International Business Machines' David Cox delivered a convincing rationale for collaborative development in corporate machine learning. Cox, VP of AI models and director at the collaborative research center, underscored the crucial nature of collaboration in innovation, notably in the modern AI landscape.
Cox highlighted the multifaceted essence of accessibility in machine learning, questioning the simplistic perception of the concept. He pointed out the growing community of transparent systems from multiple providers, including technology corporations, academic institutions, and nation-states.
However, he articulated reservations about the nature of openness in many AI language systems, observing that certain models provide little more than a set of numerical values lacking clarity in their production methods.

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