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 open innovation in business machine learning. Cox, VP of machine learning frameworks and director at the collaborative research center, underscored the importance of transparency in tech progress, notably in the modern artificial intelligence ecosystem.
The IBM executive pointed out the multifaceted essence of accessibility in AI, challenging the binary view of the concept. He pointed out the growing ecosystem of accessible frameworks from diverse origins, including technology corporations, academic institutions, and countries.
Nevertheless, he voiced concerns about the quality of openness in many Large Language Models, pointing out that a number of them deliver scarcely more than a collection of data points lacking clarity here in their production methods.