At the VentureBeat conference, International Business Machines' David Cox delivered a convincing case for open innovation in business generative AI. Cox, Vice President of machine learning frameworks and director at the collaborative research center, emphasized the significance of transparency in innovation, notably in the current machine learning
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 collaborative research center, emphasized the significance of transparency in innovation, notably in the current machine learning environment.David highlighted
Machine learning has advanced considerably in recent years, with algorithms achieving human-level performance in various tasks. However, the real challenge lies not just in developing these models, but in implementing them effectively in everyday use cases. This is where inference in AI becomes crucial, emerging as a critical focus for researchers
In the last few years, the world of AI-assisted storytelling (RP) has undergone a significant evolution. What began as experimental ventures with primitive AI has blossomed into a dynamic landscape of platforms, resources, and user groups. This overview examines the existing environment of AI RP, from widely-used tools to groundbreaking techniques.