International Business Machines champions open innovation in corporate machine learning

International Business Machines champions open innovation in corporate machine learning

Blog Article

At the technology summit, IBM's Cox presented a persuasive argument for transparent advancement in enterprise generative AI. The executive, VP of artificial intelligence systems and head at the MIT-IBM Watson AI Lab, emphasized the importance of openness in technological advancement, particularly in the current machine learning environment.
David emphasized the multifaceted essence of accessibility in machine learning, questioning the simplistic perception of the concept. He pointed out the growing ecosystem of transparent systems from multiple providers, including industry leaders, research centers, and countries.
Nevertheless, he expressed concerns about the standard of transparency in numerous Large Language Models, noting that a number of them offer barely more than a collection of data points without openness in their creation techniques.