Andrew Ng: Deep Learning, Education, and Real-World AI | Lex Fridman Podcast #73 | SARKER SUNZID MAHMUD
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Andrew Ng: Deep Learning, Education, and Real-World AI | Lex Fridman Podcast #73 | SARKER SUNZID MAHMUD
I still remember the first time I heard Andrew Ng talk about learning to code as a child, writing BASIC programs just to automate small, boring tasks. That curiosity never left him. Years later, it showed up again when he realized something simple but powerful: 👉 teaching could be automated and scaled too. That idea eventually helped shape ...
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Announcing our new event - Buildathon: The Rapid Engineering Competition. See the video for details, and please apply to participate! | Andrew Ng
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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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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
FacebookStanford Graduate School of
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Announcing our new event - Buildathon: The Rapid Engineering Competition. See the video for details, and please apply to participate! | Andrew Ng
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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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Announcing: Agentic Document Extraction! PDF files represent information visually - via layout, charts, graphs, etc. - and are more than just text. Unlike traditional OCR and most PDF-to-text approaches, which focus on extracting the text, an agentic approach lets us break a document down into components and reason about them, resulting in more accurate extraction of the underlying meaning for RAG and other applications. Watch the video for details. | Andrew Ng
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My new course, Generative AI for Everyone, is now available! Learn how Generative AI works, how to use it in professional or personal settings, and how it will affect jobs, businesses and society. This course is accessible to everyone, and assumes no prior coding or AI experience. Please access it here: https://www.deeplearning.ai/courses/generative-ai-for-everyone/ | Andrew Ng
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My new course, Generative AI for Everyone, is now available! Learn …
視聴回数: 1.1万 回2023年11月1日
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New short course on Reinforcement Learning from Human Feedback! RLHF is one of the key techniques that led to the rise of modern LLMs. It is used to align LLMs with human preferences, to make them more honest, helpful and harmless, by (i) learning a reward function that mimics human preferences, as expressed in human-provided labels, then, (ii) tuning an LLM to generate outputs that receive a high reward. In this short course, taught by Nikita Namjoshi, Developer Advocate for GenAI at Google Clo
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New short course on Reinforcement Learning from Human Feedback! …
視聴回数: 7317 回2023年12月13日
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New short course: Event-Driven Agentic Document Workflows. Event-driven workflows are a key design pattern in which many pieces of work (LLM calls, tool use, etc.) can be carried out asynchronously and in parallel, and completion of specific steps generate events that trigger other work to begin. In this course, created in partnership with LlamaIndex and Laurie Voss, VP of Developer Relations, you'll learn to apply this technique to document workflows. Filling out complex forms can be tedious, t
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