IBM pushes for transparent development in enterprise AI

At the VentureBeat conference, International Business Machines' David Cox delivered a convincing case for collaborative development in corporate machine learning. Cox, VP of artificial intelligence systems and leader at the MIT-IBM Watson AI Lab, stressed the significance of collaboration in innovation, particularly in the present artificial intelligence ecosystem.
David emphasized the multifaceted essence 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, he articulated reservations about the standard of transparency in numerous LLMs, noting that some deliver scarcely more than a set of numerical values devoid of clarity in their production methods.

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