At the VentureBeat conference, International Business Machines' David Cox showcased a compelling case for transparent advancement in enterprise machine learning. Cox, VP of artificial intelligence systems and leader at the collaborative research center, underscored the importance of openness in tech progress, especially in the present AI landscape.
The IBM executive pointed out the complex character of accessibility in AI, challenging the binary view of the concept. He pointed out the growing ecosystem of open models from various sources, including tech giants, universities, and nation-states.
Nonetheless, here he articulated reservations about the nature of transparency in numerous LLMs, noting that some deliver scarcely more than a set of numerical values lacking clarity in their production methods.