IBM advocates for open innovation in corporate machine learning

IBM advocates for open innovation in corporate machine learning

Blog Article

At the VentureBeat conference, IBM's David Cox showcased a convincing rationale for open innovation in business machine learning. The speaker, Vice President of machine learning frameworks and leader at the joint MIT and IBM artificial intelligence laboratory, stressed the significance of transparency in tech progress, especially in the present AI landscape.
David emphasized the multifaceted essence of transparency in machine learning, questioning the simplistic view of the concept. He observed the burgeoning network of accessible frameworks from diverse origins, including tech giants, universities, and governments.
Nonetheless, he voiced concerns about the standard of accessibility in numerous Large Language Models, noting that a number of them offer barely more than a "bag of numbers" devoid of clarity in their development processes.