Smart Talks with IBM
Transformations in AI: Why Foundation Models Are the Future
Sep 19, 2023
Dr. David Cox, VP of AI Models at IBM Research, explores foundation models and self-supervised machine learning. They discuss the collaboration between IBM and MIT, the efficiency of giant models, AI automation in business, and the future of AI enhancing human capabilities.
39:05
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Quick takeaways
- Foundation models provide a solid base for building AI automation, making tasks more efficient and less labor-intensive.
- Recent breakthroughs in AI, driven by factors like unannotated data and self-supervised learning, have opened up exciting possibilities for the future of artificial intelligence.
Deep dives
The Power of Foundation Models in AI
Foundation models are large generative models that allow for new exciting AI capabilities. They provide a solid base that can be built upon, making AI automation less labor-intensive and more efficient. These models enable various applications, such as sentiment analysis of product reviews, text summarization, question-answering systems, and conversational interfaces. With foundation models, businesses can automate tasks more easily and improve productivity. However, it is important to find the right-sized model for each task and address concerns like bias and hallucinations in the output.
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