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World needs more skilled people, as AI will create more jobs, says Google Brain founder Andrew Ng
4 months ago
digit.in
Andrew Ng X-Rays the AI Hype
May 3, 2021
ieee.org
Vision in the Making: Andrew Ng’s Startup Automates Factory Inspection
3 months ago
nvidia.com
6:11
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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Facebook
Andrew Ng
Andrew Ng says the real bottleneck in AI startups isn't coding — it's product management
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MSN
cmlee@insider.com (Lee Chong Ming)
2:38
I'm thrilled to announce the definitive course on Claude Code, created with Anthropic and taught by Elie Schoppik. If you want to use highly agentic coding - where AI works autonomously for many minutes or longer, not just completing code snippets - this is it. Claude Code has been a game-changer for many developers (including me!), but there's real depth to using it well. This comprehensive course covers everything from fundamentals to advanced patterns. After this short course, you'll be able
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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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Feb 12, 2025
Facebook
Andrew Ng
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New short course: Evaluating AI Agents! Evals are important for driving AI system improvements, and in this course you'll learn to systematically assess and improve an AI agent’s performance. This is built in partnership with Arize AI and taught by John Gilhuly, Head of Developer Relations, and Aman Khan, Director of Product. I've often found evals to be a critical tool in the agent development process - they can be the difference between picking the right thing to work on vs. wasting weeks of e
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New course: MCP: Build Rich-Context AI Apps with Anthropic. Learn to build AI apps that access tools, data, and prompts using the Model Context Protocol in this short course, created in partnership with Anthropic Anthropic and taught by Elie Schoppik, its Head of Technical Education. Connecting AI applications to external systems that bring rich context to LLM-based applications has often meant writing custom integrations for each use case. MCP is an open protocol that standardizes how LLMs acce
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