The tech giant pushes for transparent development in enterprise AI

The tech giant pushes for transparent development in enterprise AI

Blog Article

At VB Transform 2024, IBM's Cox presented 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 collaboration in innovation, notably in the modern AI landscape.
Cox highlighted the nuanced essence of accessibility in machine learning, contesting the two-dimensional understanding of the idea. He noted the expanding ecosystem of open models from various sources, including industry leaders, research centers, and governments.
Nevertheless, he voiced concerns about the standard of accessibility in numerous Large Language Models, noting that a number of them offer scarcely more than a collection of data points without openness in their creation techniques.