International Business Machines champions open innovation in corporate machine learning

International Business Machines champions open innovation in corporate machine learning

Blog Article

At the VentureBeat conference, IBM's Cox presented a persuasive rationale for transparent advancement in enterprise machine learning. Cox, VP of machine learning frameworks and leader at the MIT-IBM Watson AI Lab, emphasized the importance of openness in technological advancement, particularly in the current AI landscape.
Cox highlighted the nuanced essence of accessibility in machine learning, contesting the simplistic perception of the concept. He pointed out the burgeoning community of transparent systems from diverse origins, including technology corporations, universities, and nation-states.
Nonetheless, he voiced worries about the quality of accessibility in numerous LLMs, noting that a number of them offer barely more than a "bag of numbers" devoid of clarity in their development processes.