AI Frontiers: A deep dive into deep learning with Ashley Llorens and Chris Bishop
Dec 18, 2023
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Ashley Llorens hosts Chris Bishop to discuss the state of deep learning, their new textbook on the subject, and the potential for 'super copilots' in scientific breakthroughs. They explore advancements in deep learning, including pre-training and zero-shot learning, and highlight the applications of AI in healthcare and materials, such as molecule design and sustainable energy solutions.
Powerful AI models like GPT-4 are exhibiting dramatic improvements in reasoning, problem-solving, and language capabilities.
Understanding the underlying mechanisms of objects and scenarios enables large-scale AI models to achieve optimal compression and generalization.
Deep dives
The Power of Foundation Models
The speaker discusses the latest developments in AI models, highlighting their surprising abilities in reasoning, problem solving, and translation. These models exhibit emergent behavior and new capabilities as they scale up in size.
Learning Distributions at Scale
The concept of learning distributions in machine learning is explored, with a focus on the challenges and complexities of learning distributions with a trillion learnable parameters. Machine learning models, such as neural networks, enable perfect diagnostics and experimental probing of the system.
Generalization in Large-Scale AI Models
The concept of generalization is explained, particularly in the context of large-scale AI models. The speaker highlights the close relationship between learning probability distributions and data compression. Understanding the underlying mechanisms of different objects and scenarios enables the models to achieve optimal compression and generalization.
Powerful large-scale AI models like GPT-4 are showing dramatic improvements in reasoning, problem-solving, and language capabilities. This marks a phase change for artificial intelligence—and a signal of accelerating progress to come.
In this Microsoft Research Podcast series, AI scientist and engineer Ashley Llorens hosts conversations with his collaborators and colleagues about what these models—and the models that will come next—mean for our approach to creating, understanding, and deploying AI, its applications in areas such as healthcare and education, and its potential to benefit humanity.
This episode features Technical Fellow Christopher Bishop, who leads a global team of researchers and engineers working to help accelerate scientific discovery by merging machine learning and the natural sciences. Llorens and Bishop explore the state of deep learning; Bishop’s new textbook Deep Learning: Foundations and Concepts, his third and a writing collaboration with his son; and a potential future in which “super copilots” accessible via natural language and drawing on a variety of tools, like those that can simulate the fundamental equations of nature, are empowering scientists in their pursuit of breakthrough.