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Powerful new 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 new Microsoft Research Podcast series, AI scientist and engineer Ashley Llorens hosts conversations with his collaborators and colleagues about what these new models—and the models that will come next—mean for our approach to creating, understanding, and deploying AI, its applications in areas such as health care and education, and its potential to benefit humanity.
The second episode features Peter Lee, head of Microsoft Research. Lee was among a group within Microsoft to have early access to GPT-4 for evaluation and experimentation. Here, he applies his philosophy of tackling research from what will be inevitably true at a future point in time to this current moment. He also explores the differences that may make integrating today’s AI advancements into health care more attainable, a topic he expands on in the soon-to-be-released book The AI Revolution in Medicine: GPT-4 and Beyond and the New England Journal of Medicine article "Benefits, Limits, and Risks of GPT-4 as an AI Chatbot for Medicine."
https://www.microsoft.com/research
4.8
8080 ratings
Powerful new 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 new Microsoft Research Podcast series, AI scientist and engineer Ashley Llorens hosts conversations with his collaborators and colleagues about what these new models—and the models that will come next—mean for our approach to creating, understanding, and deploying AI, its applications in areas such as health care and education, and its potential to benefit humanity.
The second episode features Peter Lee, head of Microsoft Research. Lee was among a group within Microsoft to have early access to GPT-4 for evaluation and experimentation. Here, he applies his philosophy of tackling research from what will be inevitably true at a future point in time to this current moment. He also explores the differences that may make integrating today’s AI advancements into health care more attainable, a topic he expands on in the soon-to-be-released book The AI Revolution in Medicine: GPT-4 and Beyond and the New England Journal of Medicine article "Benefits, Limits, and Risks of GPT-4 as an AI Chatbot for Medicine."
https://www.microsoft.com/research
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