Smart Talks with IBM Transformations in AI: Why Foundation Models are the Future
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Jul 16, 2024 Dr. David Cox, VP of AI Models at IBM Research, discusses foundation models, self-supervised machine learning, and AI applications like Watson X. The podcast explores AI's impact on business automation, collaboration between IBM and MIT, and the future of AI-human collaboration.
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Key Breakthroughs Behind AI Surge
- AI breakthroughs accelerated with more data, compute power, and self-supervised learning.
- Public access to models like ChatGPT revealed AI's transformative potential visibly and tangibly.
Foundation Models Define AI's Future
- Foundation models build a base trained on vast unannotated data to reduce effort for specific tasks.
- They allow leveraging a common powerful core, needing only minimal tuning to perform new functions.
Foundation Models Lower AI Costs
- Traditional AI automations are costly, requiring massive data labeling and skilled labor.
- Foundation models flatten these costs by providing a reusable base, enabling automation of smaller tasks efficiently.