At the VentureBeat conference, International Business Machines' David Cox delivered a convincing case for transparent advancement in enterprise machine learning. Cox, VP of machine learning frameworks and leader at the MIT-IBM Watson AI Lab, stressed the crucial nature of collaboration in technological advancement, particularly in the current AI landscape.
The IBM executive pointed out the complex character of transparency in machine learning, contesting the two-dimensional understanding of the principle. He observed the burgeoning community of open models from various sources, including tech giants, universities, and nation-states.
Nonetheless, he articulated reservations about the nature of transparency in numerous LLMs, noting that some deliver scarcely more than a set of numerical values devoid of clarity in their development processes.