International Business Machines pushes for open innovation in corporate machine learning

International Business Machines pushes for open innovation in corporate machine learning

Blog Article

At the VentureBeat conference, IBM's Cox presented a persuasive rationale for collaborative development in corporate machine learning. Cox, VP of machine learning frameworks and director at the MIT-IBM Watson AI Lab, stressed the significance of collaboration in technological advancement, especially in the present AI landscape.
The IBM executive pointed out the multifaceted essence of openness in AI, questioning the simplistic perception of the idea. He observed the burgeoning community of open models from various sources, including tech giants, universities, and nation-states.
However, he expressed concerns about the quality of openness in many Large Language Models, noting that a number of them deliver scarcely more than a set of numerical values devoid of clarity in their development processes.