Andrew Ng Agentic Defintion - Search Videos

Learn Agentic AI Design Patterns with My New Course | Andrew Ng posted on the topic | LinkedIn

Learn Agentic AI Design Patterns with My New Course | Andrew Ng posted on the topic | LinkedIn

527 views7 months ago

Introducing Agentic Object Detection! Given a text prompt like “unripe strawberries” or “Kellogg’s branded cereal” and an image, we use an agentic workflow to reason at length and detect the specified objects. No need to label any training data. Please watch the video for details. Or play with the demo here: https://va.landing.ai/demo/agentic-od | Andrew Ng

Introducing Agentic Object Detection! Given a text prompt like “unripe strawberries” or “Kellogg’s branded cereal” and an image, we use an agentic workflow to reason at length and detect the specified objects. No need to label any training data. Please watch the video for details. Or play with the demo here: https://va.landing.ai/demo/agentic-od | Andrew Ng

60.2K viewsFeb 6, 2025

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Agentic Document Extraction just got much faster! From previous 135sec median processing time down to 8sec. Extracts not just text but diagrams, charts, and form fields from PDFs to give LLM-ready output. Please see the video for details and some application ideas. | Andrew Ng

Agentic Document Extraction just got much faster! From previous 135sec median processing time down to 8sec. Extracts not just text but diagrams, charts, and form fields from PDFs to give LLM-ready output. Please see the video for details and some application ideas. | Andrew Ng

38.7K views11 months ago

FacebookAndrew Ng

Important new course: Agent Skills with Anthropic, built with @AnthropicAI and taught by @eschoppik!Skills are constructed as folders of instructions that equip agents with on-demand knowledge and workflows. This short course teaches you how to create them following best practices. Because skills follow an open standard format, you can build them once and deploy across any skills-compatible agent, like Claude Code.What you'll learn:- Create custom skills for code generation and review, data anal

Important new course: Agent Skills with Anthropic, built with @AnthropicAI and taught by @eschoppik!Skills are constructed as folders of instructions that equip agents with on-demand knowledge and workflows. This short course teaches you how to create them following best practices. Because skills follow an open standard format, you can build them once and deploy across any skills-compatible agent, like Claude Code.What you'll learn:- Create custom skills for code generation and review, data anal

882.3K views3 months ago

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

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

5.3K viewsJun 11, 2023

FacebookAndrew Ng

Build better RAG by letting a team of agents extract and connect your reference materials into a knowledge graph. Our new short course, “Agentic Knowledge Graph Construction,” taught by Neo4j Innovation Lead Andreas Kollegger, shows you how. Knowledge graphs are an important way to store information accurately but they are a lot of work to build manually. In this course you’ll learn how to build a team of agents that turn data– in this case product reviews and invoices from suppliers–into struct

Build better RAG by letting a team of agents extract and connect your reference materials into a knowledge graph. Our new short course, “Agentic Knowledge Graph Construction,” taught by Neo4j Innovation Lead Andreas Kollegger, shows you how. Knowledge graphs are an important way to store information accurately but they are a lot of work to build manually. In this course you’ll learn how to build a team of agents that turn data– in this case product reviews and invoices from suppliers–into struct

38.1K views8 months ago

FacebookAndrew Ng

Agentic AI, taught by Andrew Ng, is now available worldwide. Learn to design and evaluate AI systems that plan, reflect, and collaborate across multiple steps, built in raw Python. Available exclusively at DeepLearning.AI. Enroll now 👉 https://hubs.la/Q03My0HX0 | DeepLearning.AI

Agentic AI, taught by Andrew Ng, is now available worldwide. Learn to design and evaluate AI systems that plan, reflect, and collaborate across multiple steps, built in raw Python. Available exclusively at DeepLearning.AI. Enroll now 👉 https://hubs.la/Q03My0HX0 | DeepLearning.AI

8.5K views7 months ago

FacebookDeepLearning.AI

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

I’m excited to kick off the first of our short courses focused on agents, starting with "Building Agentic RAG with LlamaIndex," taught by Jerry Liu, CEO of LlamaIndex. This covers an important shift in RAG (retrieval augmented generation), in which rather than having the developer write explicit routines to retrieve information to feed into the LLM context, we instead build a RAG agent that that has access to tools for retrieving information. This lets the agent decide what information to fetch,

3.6K viewsMay 8, 2024

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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

27.7K views9 months ago

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New Agentic AI short course! "AI Agentic Design Patterns with AutoGen", taught by Microsoft's Chi Wang and Penn State's Qingyun Wu, shows you how to use AutoGen to implement agentic design patterns like multi-agent collaboration, sequential and nested chat, reflection, tool use, and planning. Learn how to build and combine multiple specialized agents – such as researchers, planners, coders, writers, and critics – that interact to execute complex workflows, like generating detailed financial repo

2.8K viewsMay 29, 2024

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Agentic Document Extraction now supports field extraction! Many doc extraction use cases extract specific fields from forms and other structured documents. You can now input a picture or PDF of an invoice, request the vendor name, item list, and prices, and get back the extracted fields. Or input a medical form and specify a schema to extract patient name, patient ID, insurance number, etc. One cool feature: If you don't feel like writing a schema (json specification of what fields to extract) y

26.4K views10 months ago

FacebookAndrew Ng

New short course: Practical Multi AI Agents and Advanced Use Cases with crewAI! Learn how to build and deploy advanced agent-based systems in real applications in this course, created with CrewAI and taught by its founder, João (Joe) Moura! (Disclosure: I've made a small seed investment in CrewAI.) In this course, you’ll learn how to create advanced agent-based apps that use external tools, do performance testing, can be trained with human feedback, and perform multiple tasks with different larg

3.6K viewsOct 23, 2024

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New AI Agentic course! Learn to use LangGraph to build single and multi-agent LLM applications in AI Agents in LangGraph. This short course, taught by LangChain founder Harrison Chase and Tavily founder Rotem Weiss shows how to integrate agentic search to enhance an agent's knowledge with query-focused answers in predictable formats. Also learn to implement agentic memory to save state for reasoning and debugging, and see how human-in-the-loop input can guide agents at key junctures. You'll buil

2K viewsJun 5, 2024

FacebookAndrew Ng

New agentic short course! Multi AI Agent Systems with crewAI, built with crewAI's founder and CEO João (Joe) Moura. In this course, you'll learn how to break down complex tasks into subtasks for multiple AI agents, each playing a specialized role, to execute. For example, to generate a research report, you might have researcher, writer, and quality assurance agents collaborate. You'll define the roles, expectations, and interactions between the agents—like a manager organizing a team. You'll wor

2.5K viewsMay 15, 2024

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Andrew Ng: A Look At AI Agentic Workflows And Their Potential For Driving AI Progress

Andrew Ng先生による「What's next for AI agentic workflows」を1年遅れで視聴。私はAgentic workflowを誤解していました

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New short course: Building Code Agents with Hugging Face smolagents! Learn how to build code agents in this course, created in collaboration with Hugging Face @huggingface, and taught by Thomas Wolf, its co-founder and CSO, and Aymeric Roucher, Hugging Face’s Project Lead on Agents. Tool-calling agents use LLMs to generate multiple function calls sequentially to complete a complex sequence of tasks. They generate one function call, execute it, observe, reason, and decide what to do next. Code ag

15.5K viewsApr 23, 2025

FacebookAndrew Ng

New Course: ACP: Agent Communication Protocol Learn to build agents that communicate and collaborate across different frameworks using ACP in this short course built with IBM Research’s BeeAI, and taught by Sandi Besen, AI Research Engineer & Ecosystem Lead at IBM, and Nicholas Renotte, Head of AI Developer Advocacy at IBM. Building a multi-agent system with agents built or used by different teams and organizations can become challenging. You may need to write custom integrations each time a tea

39.3K views10 months ago

FacebookAndrew Ng

Announcing a significant upgrade to Agentic Document Extraction! LandingAI's new DPT (Document Pre-trained Transformer) accurately extracts even from complex docs. For example, from large, complex tables, which is important for many finance and healthcare applications. And a new SDK makes using it require only 3 simple lines of code. Please see the video for technical details. I hope this unlocks a lot of value from the "dark data" currently stuck in PDF files, and that you'll build something co

57.9K views7 months ago

FacebookAndrew Ng

New course: Nvidia's NeMo Agent Toolkit: Making Agents Reliable, taught by Brian McBrayer from NVIDIA. Many teams struggle to turn agent demos into reliable systems that are ready for production. This short course teaches you to harden agentic workflows into reliable systems using Nvidia's open-source NeMo Agent Toolkit (NAT). Whether you built your agent in raw Python or using a framework like LangGraph, or CrewAI, NAT provides building blocks for observability, evaluation, and deployment that

27.2K views4 months ago

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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

20.5K viewsMar 5, 2025

FacebookAndrew Ng

Andrew Ng released 'Agentic Object Detection' last week - here's why it's making waves

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

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Agentic Document Extraction: Extracting Fields from Forms and Docs | Andrew Ng posted on the topic | LinkedIn

593 views10 months ago

One Agent For Many Worlds, Cross-Species Cell Embeddings, and more | Andrew Ng | 139 comments

Agentic Document Extraction: A New Approach | Andrew Ng posted on the topic | LinkedIn

852 viewsFeb 28, 2025

Generative AI in the Real World: Andrew Ng on where AI is headed. It’s about agents.

184 views2 weeks ago

YouTubeO'Reilly

Andrew Ng: AGI is Decades Away! Don't Believe the Hype #AndrewNg #AGI #ArtificialIntelligence

1.2K views1 month ago

YouTubeCicada Tech

9 Free Courses From Harvard, MIT, Stanford & Google That Actually Get You Hired

58.9K views1 month ago

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