At VB Transform 2024, IBM's Cox presented a compelling argument for transparent advancement in enterprise machine learning. Cox, VP of artificial intelligence systems and leader at the MIT-IBM Watson AI Lab, stressed the significance of collaboration in innovation, notably in the current artificial intelligence ecosystem.
The IBM executive pointed out the multifaceted essence of accessibility in machine learning, contesting the two-dimensional view of the concept. He pointed out the growing ecosystem of open models from various sources, including tech giants, universities, and governments.
Nonetheless, he articulated reservations about the nature of transparency in numerous Large Language Models, noting that some deliver scarcely more than a set of numerical values devoid of clarity in their production methods.