International Business Machines pushes for transparent development in enterprise AI

International Business Machines pushes for transparent development in enterprise AI

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 machine learning frameworks and director at the collaborative research center, emphasized the importance of openness in technological advancement, particularly in the current machine learning environment.
David emphasized the multifaceted character of transparency in machine learning, questioning the simplistic perception of the idea. He pointed out the growing ecosystem of open models from multiple providers, including industry leaders, research centers, and countries.
Nevertheless, he expressed concerns about the standard of accessibility in numerous LLMs, noting that a number of them deliver barely more than a collection of data points without openness in their creation techniques.