IBM advocates for collaborative advancement in corporate machine learning

IBM advocates for collaborative advancement in corporate machine learning

Blog Article

At the VentureBeat conference, IBM's Cox presented a persuasive rationale for transparent advancement in enterprise machine learning. Cox, VP of artificial intelligence systems and leader at the MIT-IBM Watson AI Lab, emphasized the significance of transparency in innovation, notably in the current machine learning environment.
David highlighted the nuanced nature of openness in AI, challenging the simplistic perception of the idea. He noted the growing ecosystem of open models from various sources, including tech giants, universities, and nation-states.
However, he articulated reservations about the standard of transparency in numerous LLMs, noting that some deliver scarcely more than a set of numerical values lacking clarity in their production methods.