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Andrew Ng

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Keynote: Fireside ChatNODES 20252025-11-06
Defines agentic AI as iterative, multi-step workflows and lays out four design patterns: tool calling, planning, reflection, multi-agent collaboration, argues…
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#NODES2025 countdownNODES 20252025-11-06
A fireside chat lays out concrete pipelines for combining large models with graph databases, showing a GraphRAG pattern that attaches node-level provenance to…
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Fireside ChatAWS Machine Learning Summit 20212021-06-02
Conversation argues that the core claim is practical: most ML projects stall on the proof-of-concept-to-production gap and the fix is concrete — ship a quick…
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Overcoming the Barriers to Deep Learning in ProductionTWIMLcon: AI Platforms 20192019-10-01
Overview of concrete tactics and failures: commercial engagements build vision-guided smart agricultural machinery that increases yield without new land; early…
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