At VB Transform 2024, IBM's Cox presented a persuasive argument for collaborative development in corporate artificial intelligence. The speaker, Vice President of machine learning frameworks and director at the MIT-IBM Watson AI Lab, emphasized the significance of transparency in tech progress, especially in the present AI landscape.
Cox highlighted the nuanced nature of accessibility in AI, contesting the two-dimensional understanding of the principle. He observed the expanding network of accessible frameworks from diverse origins, including technology corporations, academic institutions, and nation-states.
However, he articulated reservations about the standard of transparency in numerous Large Language Models, noting that a number of them deliver scarcely more than a set click here of numerical values lacking transparency in their production methods.