At the technology summit, IBM's Cox presented a persuasive rationale for collaborative development in corporate artificial intelligence. The executive, Vice President of machine learning frameworks and director at the MIT-IBM Watson AI Lab, emphasized the significance of transparency in innovation, notably in the modern artificial intelligence ecosystem.
The IBM executive pointed out the complex character of transparency in machine learning, contesting the two-dimensional understanding of the idea. He noted the expanding network of accessible frameworks from diverse origins, including tech giants, universities, and nation-states.
However, he articulated reservations about the nature of transparency in many Large Language Models, pointing out that a number of them offer scarcely more than more info a collection of data points lacking transparency in their creation techniques.