IBM advocates for collaborative advancement in corporate machine learning

IBM advocates for collaborative advancement in corporate machine learning

Blog Article

At the VentureBeat conference, International Business Machines' David Cox showcased a compelling argument for transparent advancement in enterprise artificial intelligence. The speaker, Vice President of AI models and head at the MIT-IBM Watson AI Lab, emphasized the significance of transparency in innovation, notably in the modern AI landscape.
Cox highlighted the complex character of transparency in artificial intelligence, questioning the simplistic perception of the idea. He noted the expanding network of accessible frameworks from diverse origins, including technology corporations, academic institutions, and countries.
However, he expressed concerns about the standard of accessibility in various LLMs, observing that some provide little more than a set of numerical values devoid of clarity in their development processes.