Andrew Ng lays out a hierarchy of engineering talent — including who's in trouble and who he refuses to hire
Andrew Ng lays out a hierarchy of engineering talent — including who's in trouble and who he refuses to hire
5 months ago
MSNcmlee@insider.com (Lee Chong Ming)
Andrew Ng: Deep Learning, Education, and Real-World AI | Lex Fridman Podcast #73 | SARKER SUNZID MAHMUD
Andrew Ng: Deep Learning, Education, and Real-World AI | Lex Fridman Podcast #73 | SARKER SUNZID MAHMUD
941 views4 months ago
linkedin.com
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
2:46
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
43.5K viewsFeb 27, 2025
FacebookAndrew Ng
PROPHETIC PRAYER CONFERENCE _SESSION 7 _ APST. ANDREW NG'ANG'A - 24-01-2026
3:08:40
PROPHETIC PRAYER CONFERENCE _SESSION 7 _ APST. ANDREW NG'ANG'A - 24-01-2026
831 views3 months ago
YouTubeFOUNTAIN GATE CHURCH NAIROBI
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
3:27
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
7.3K viewsDec 13, 2023
FacebookAndrew Ng
New Course: Reinforcement Fine-Tuning LLMs with GRPO! Learn to use reinforcement learning to improve your LLM performance in this short course, built in collaboration with Predibase, and taught by Travis Addair, its Co-Founder and CTO, and Arnav Garg, its Senior Engineer and Machine Learning Lead. Reasoning models have been one of the most important developments in LLMs. Reinforcement Fine-Tuning (RFT) uses rewards to encourage LLMs to find solutions to multi-step reasoning tasks such as solving
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New Course: Reinforcement Fine-Tuning LLMs with GRPO! Learn to use reinforcement learning to improve your LLM performance in this short course, built in collaboration with Predibase, and taught by Travis Addair, its Co-Founder and CTO, and Arnav Garg, its Senior Engineer and Machine Learning Lead. Reasoning models have been one of the most important developments in LLMs. Reinforcement Fine-Tuning (RFT) uses rewards to encourage LLMs to find solutions to multi-step reasoning tasks such as solving
38.8K views11 months ago
FacebookAndrew Ng
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 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
8.3K viewsFeb 19, 2025
FacebookAndrew Ng
The Visionary World of Andrew Ng: Deep Learning, Education, and Real-World AI
Aug 31, 2023
medium.com
1:15:20
Stanford CS229: Machine Learning Course, Lecture 1 - Andrew Ng (Autumn 2018)
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Lecture 1 | Machine Learning (Stanford)
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Andrew Ng: Advice on Getting Started in Deep Learning | AI Podcast Clips
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Andrew Ng - AI For Everyone course
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Architecting Multi-Agent Systems With Andrew Ng
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Learn to build effective Agentic AI systems with Andrew Ng
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Andrew Ng’s AI Python for Beginners final courses are live! Join now
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Principal components analysis 1| Andrew Ng
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Building blocks of deep neural networks by Prof. Andrew NG
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Lecture 19 | Machine Learning (Stanford)
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The Believer's Authority: Episode 7
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Deep Learning Basics: Introduction and Overview
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Lecture 15 | Machine Learning (Stanford)
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Lecture 2 | Machine Learning (Stanford)
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Normalizing Activations in a Network (C2W3L04)
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How Your Brain Works & Changes
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