INTERNATIONAL BUSINESS MACHINES PROMOTES TRANSPARENT DEVELOPMENT IN ENTERPRISE AI

International Business Machines promotes transparent development in enterprise AI

International Business Machines promotes transparent development in enterprise AI

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At the VentureBeat conference, International Business Machines' David Cox presented a persuasive rationale for transparent advancement in enterprise machine learning. Cox, Vice President of AI models and head at the MIT-IBM Watson AI Lab, emphasized the crucial nature of openness in tech progress, especially in the modern AI landscape.
The IBM executive pointed out the multifaceted essence of openness in machine learning, contesting the two-dimensional view of the concept. He pointed out the expanding network of transparent systems from multiple providers, including industry leaders, universities, and nation-states.
However, he expressed concerns about the quality of openness in many Large Language Models, pointing out that a number of them deliver little more than a set of numerical values devoid of clarity in their development processes.

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