The tech giant pushes for open innovation in corporate machine learning

The tech giant pushes for open innovation in corporate machine learning

Blog Article

At VB Transform 2024, IBM's Cox presented a persuasive argument for open innovation in enterprise machine learning. The speaker, Vice President of AI models and director at the MIT-IBM Watson AI Lab, emphasized the importance of openness in tech progress, especially in the present machine learning environment.
David emphasized 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, noting that some deliver scarcely more than a collection of data points lacking transparency in their creation techniques.