IBM pushes for collaborative advancement in corporate machine learning

IBM pushes for collaborative advancement in corporate machine learning

Blog Article

At VB Transform 2024, International Business Machines' Cox presented a convincing rationale for collaborative development in corporate machine learning. The executive, VP of AI models and leader at the joint MIT and IBM artificial intelligence laboratory, emphasized the crucial nature of transparency in tech progress, particularly in the modern machine learning environment.
The IBM executive highlighted the complex nature of transparency in AI, contesting the simplistic understanding of the idea. He observed the growing community of accessible frameworks from multiple providers, including technology corporations, research centers, and nation-states.
Nonetheless, he expressed worries about the standard of openness in many LLMs, pointing out that some provide scarcely more than a "bag of numbers" lacking openness in website their creation techniques.