At VB Transform 2024, International Business Machines' Cox delivered a convincing case for transparent advancement in business artificial intelligence. The speaker, VP of machine learning frameworks and director at the joint MIT and IBM artificial intelligence laboratory, underscored the significance of transparency in innovation, particularly in the present machine learning environment.
Cox pointed out the complex essence of accessibility in artificial intelligence, questioning the two-dimensional understanding of the principle. He pointed out the growing ecosystem of accessible frameworks from read more multiple providers, including industry leaders, research centers, and nation-states.
However, he expressed concerns about the quality of openness in many Large Language Models, noting that some provide barely more than a collection of data points lacking clarity in their production methods.