IBM advocates for collaborative advancement in corporate machine learning

IBM advocates for collaborative advancement in corporate machine learning

Blog Article

At the technology summit, International Business Machines' David Cox showcased a convincing case for collaborative development in corporate artificial intelligence. The executive, Vice President of machine learning frameworks and leader at the MIT-IBM Watson AI Lab, emphasized the importance of openness in tech progress, especially in the present AI landscape.
Cox highlighted the multifaceted essence of accessibility in machine learning, contesting the two-dimensional understanding of the idea. He noted the expanding ecosystem of open models from various sources, including tech giants, research centers, and governments.
Nevertheless, he voiced concerns about the quality of accessibility in various LLMs, observing that some deliver scarcely more than a set of numerical values lacking transparency in their production methods.