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    Ts Floyd
    Ts Floyd@ts_floyd1mo
    💭AI💭Tech
    Andrew Ng Graph Engineering PDF

    @ts_floydAndrew Ng just released a 12-page PDF on 'Graph Engineering' for multi-agentic systems. It covers 4 design patterns: Reflection (add a critic for 10-30% quality lift), Tool Use (execute code, search web, query DB to stop hallucination), Planning (write a structured plan and reroute on tool failure), and Multi-Agent (split roles like coder, reviewer, tester). The key idea: graph architecture externalizes shared state so agent loops can persist overnight. Based on his courses and DeepLearning.AI curriculum.

    ดูโพสต์ต้นฉบับ

    Andrew Ng Graph Engineering PDF

    รูปภาพโดย @ts_floyd· Jul 25, 2026· AI

    เกี่ยวกับรูปนี้

    The image is a document page with text and a diagram. The diagram shows a user interacting with an Architect Agent, Tech Lead Agent, and Developer Agent, all connected to a Knowledge Graph. The text discusses "Graph Engineering for Multi-Agentic Systems: The Andrew Ng Playbook" and is based on Andrew Ng's courses and DeepLearning.AI curriculum. The mood is academic and informative. A notable detail is the DeepLearning.AI watermark at the bottom left. ON-SCREEN TEXT: Full Course From Scratch · 2026 Working Note on Agentic AI Practice Graph Engineering for Multi-Agentic Systems: The Andrew Ng Playbook Based on Andrew Ng's courses, presentations, and the DeepLearning.AI curriculum Including the July 2026 Agentic Knowledge Graphs course (DeepLearning.AI + Neo4j + Google ADK) Independently compiled, July 2026 — not affiliated with or endorsed by Andrew Ng or DeepLearning.AI User Architect Agent planning + reflection Tech Lead Agent

    ดูรูปภาพ AI ทั้งหมด

    ?

    รูปภาพ AI เพิ่มเติม

    ดูรูปภาพ AI ทั้งหมด
    Antony Starr on AI actors2Antony Starr on AI actorsNew Designers 2026New Designers 2026The AI Engineering Skills Map Andrew NG2The AI Engineering Skills Map Andrew NGOpenAI Sam Altman IPO announcement2OpenAI Sam Altman IPO announcementDario Amodei Anthropic AI2Dario Amodei Anthropic AIAI as your doctor?AI as your doctor?Spotify Claude Code token optimizationSpotify Claude Code token optimizationGlobal AI Tool Usage by Country 2025Global AI Tool Usage by Country 2025Y Combinator robotics and physical AI focusY Combinator robotics and physical AI focusHouthis press conference2Houthis press conferenceUS AI sovereignty strategy and Pax SilicaUS AI sovereignty strategy and Pax SilicaOpenAI and Anthropic researchers call for slower AI development2OpenAI and Anthropic researchers call for slower AI development
    รูปภาพ
    Ts Floyd
    Ts Floyd@ts_floyd1mo
    💭AI💭Tech
    Andrew Ng Graph Engineering PDF

    @ts_floydAndrew Ng just released a 12-page PDF on 'Graph Engineering' for multi-agentic systems. It covers 4 design patterns: Reflection (add a critic for 10-30% quality lift), Tool Use (execute code, search web, query DB to stop hallucination), Planning (write a structured plan and reroute on tool failure), and Multi-Agent (split roles like coder, reviewer, tester). The key idea: graph architecture externalizes shared state so agent loops can persist overnight. Based on his courses and DeepLearning.AI curriculum.

    ดูโพสต์ต้นฉบับ

    Andrew Ng Graph Engineering PDF

    รูปภาพโดย @ts_floyd· Jul 25, 2026· AI

    เกี่ยวกับรูปนี้

    The image is a document page with text and a diagram. The diagram shows a user interacting with an Architect Agent, Tech Lead Agent, and Developer Agent, all connected to a Knowledge Graph. The text discusses "Graph Engineering for Multi-Agentic Systems: The Andrew Ng Playbook" and is based on Andrew Ng's courses and DeepLearning.AI curriculum. The mood is academic and informative. A notable detail is the DeepLearning.AI watermark at the bottom left. ON-SCREEN TEXT: Full Course From Scratch · 2026 Working Note on Agentic AI Practice Graph Engineering for Multi-Agentic Systems: The Andrew Ng Playbook Based on Andrew Ng's courses, presentations, and the DeepLearning.AI curriculum Including the July 2026 Agentic Knowledge Graphs course (DeepLearning.AI + Neo4j + Google ADK) Independently compiled, July 2026 — not affiliated with or endorsed by Andrew Ng or DeepLearning.AI User Architect Agent planning + reflection Tech Lead Agent

    ดูรูปภาพ AI ทั้งหมด

    ?

    รูปภาพ AI เพิ่มเติม

    ดูรูปภาพ AI ทั้งหมด
    Antony Starr on AI actors2Antony Starr on AI actorsNew Designers 2026New Designers 2026The AI Engineering Skills Map Andrew NG2The AI Engineering Skills Map Andrew NGOpenAI Sam Altman IPO announcement2OpenAI Sam Altman IPO announcementDario Amodei Anthropic AI2Dario Amodei Anthropic AIAI as your doctor?AI as your doctor?Spotify Claude Code token optimizationSpotify Claude Code token optimizationGlobal AI Tool Usage by Country 2025Global AI Tool Usage by Country 2025Y Combinator robotics and physical AI focusY Combinator robotics and physical AI focusHouthis press conference2Houthis press conferenceUS AI sovereignty strategy and Pax SilicaUS AI sovereignty strategy and Pax SilicaOpenAI and Anthropic researchers call for slower AI development2OpenAI and Anthropic researchers call for slower AI development