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Shishir Patil: Teaching AI to Use APIs with Gorilla LLM | Humans of AI Podcast #7
youtube.comCore to this logic is a tenet of artificial intelligence known as Moravec’s Paradox. Hans Moravec was a professor of mine at Carnegie Mellon University, and his work on artificial intelligence and robotics led him to a fundamental truth about combining the two: contrary to popular assumptions, it is relatively easy for AI to mimic the high-level in
... See moreKai-Fu Lee • AI Superpowers: China, Silicon Valley, and the New World Order
Alibaba has followed suit with plans to open a global network of research labs, including in Silicon Valley and Seattle. Thus far, Tencent and Alibaba have yet to publicly demonstrate the results of this research, opting instead for more product-driven applications. Alibaba has taken the lead on “City Brains”: massive AI-driven networks that optimi
... See moreKai-Fu Lee • AI Superpowers: China, Silicon Valley, and the New World Order
CEO and founder of analytics software company SAS, was a student there and taught there, and he generously
Thomas H. Davenport • Keeping Up with the Quants: Your Guide to Understanding and Using Analytics
logistic regression, K-nearest neighbors, support vector machine (SVM), decision trees, random forests, and so on. How can a data scientist possibly know which
Eric Redmond • Deep Tech: Demystifying the Breakthrough Technologies That Will Revolutionize Everything
Learning means trying to select the simplest model that fits the data. Suppose I show you the top card and tell you that the three objects surrounded by thick lines are “tufas.” With so little data, how do you find the other tufas? Your brain makes a model of how these forms were generated, a hierarchical tree of their properties, and then selects
... See moreStanislas Dehaene • How We Learn: Why Brains Learn Better Than Any Machine . . . for Now
crunching the mathematics that would make sense of the mess of links