IBM advocates for collaborative advancement in business artificial intelligence

IBM advocates for collaborative advancement in business artificial intelligence

Blog Article

At the VentureBeat conference, IBM's Cox delivered a compelling argument for collaborative development in corporate machine learning. Cox, VP of machine learning frameworks and director at the joint MIT and IBM artificial intelligence laboratory, underscored the significance of transparency in technological advancement, particularly in the present artificial intelligence ecosystem.
David highlighted the nuanced character of accessibility in machine learning, challenging the simplistic perception of the principle. He observed the growing ecosystem of accessible frameworks from diverse origins, including industry leaders, research centers, and governments.
Nonetheless, he expressed concerns about the quality of openness in many Large Language Models, noting that some provide little more than a "bag of numbers" without transparency in their production methods.