Transformations in AI: Why Foundation Models Are the Future
Sep 19, 2023
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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.
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.
The Breakthroughs in AI Revolution
The recent breakthroughs in AI are a result of several factors: the availability of large amounts of unannotated data, the advancement of deep learning algorithms, and the use of self-supervised learning. These factors have accelerated the pace of AI development and led to the creation of powerful models. The rise of generative AI models like chat GPT and mid-journey has made AI more accessible to the public, sparking widespread interest and awareness. This rapid progress has opened up exciting possibilities for the future of artificial intelligence.
Foundation Models and Automation in Business
Foundation models have wide-ranging applications in business automation. They can be used for sentiment analysis, text summarization, question-answering systems, and more. These models enable businesses to streamline processes, improve customer service, and increase productivity. Conversational interfaces powered by AI can revolutionize user interactions and make tasks more efficient. Additionally, AI can assist in code generation, helping developers write code more effectively. While concerns about sustainability, efficiency, bias, and hallucination still exist, the potential benefits of using foundation models in business are significant.
The Future of AI and Human Collaboration
In the future, AI and humans are envisioned to work together as a powerful force for innovation and problem-solving. AI can be seen as a resource, similar to a natural resource, that provides abundance in intellectual capabilities. With the seamless automation and augmentation made possible by AI, humans can achieve more, solve complex problems, and create new possibilities. Rather than being seen as job replacements, AI can be viewed as a tool that enhances productivity and enriches our lives with its capabilities. The potential for collaboration and creativity between AI and humans is immense.
Major breakthroughs in artificial intelligence research often reshape the design and utility of AI in both business and society. In this episode of Smart Talks with IBM, Malcolm Gladwell and Jacob Goldstein explore the conceptual underpinnings of modern AI with Dr. David Cox, VP of AI Models at IBM Research. They talk foundation models, self-supervised machine learning, and the practical applications of AI and data platforms like watsonx in business and technology.