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 compelling argument for transparent advancement in enterprise artificial intelligence. The speaker, Vice President of AI models and director at the MIT-IBM Watson AI Lab, emphasized the significance of transparency in tech progress, especially in the modern artificial intelligence ecosystem.
The IBM executive pointed out the complex character of openness in artificial intelligence, questioning the binary view of the concept. He pointed out the growing community of transparent systems from multiple providers, including industry leaders, research centers, and countries.
Nevertheless, he voiced concerns about the quality of accessibility in various LLMs, observing that some deliver scarcely more than a set of numerical values lacking transparency in their production methods.