Andrew Ng In Conversation with Toby Walsh
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unsw.edu.au
New short course: Attention in Transformers: Concepts and Code in PyTorch. Last week we released a course on how LLM transformers work. This week, go deeper and learn about the technical ideas behind the attention mechanism, and see how to code it in PyTorch. This course is built with Josh Starmer, Founder and CEO of StatQuest. The attention mechanism was a breakthrough that led to transformers, the architecture powering large language models like ChatGPT. Transformers, introduced in the 2017 pa
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Andrew Ng: Building Faster with AI – Lifeboat News: The Blog
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More than 100 years ago, electricity changed everything. Now the same thing is about to happen with artificial intelligence. Watch Andrew Ng’s full talk from the Stanford MSx Future Forum: http://stanford.io/2pzQM2z | Stanford Graduate School of Business
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Had an insightful conversation with @geoffreyhinton about AI and catastrophic risks. Two thoughts we want to share: - It's important that AI scientists reach consensus on risks-similar to climate scientists, who have rough consensus on climate change-to shape good policy. - Do AI models understand the world? We think they do. If we list out and develop a shared view on key technical questions like this, it will help move us toward consensus on risks. I learned a lot speaking with Geoff. Let’s al
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