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contextual_ai [2026/06/13 17:20] – [The Same Outcome. A Very Different Approach.] wikiadmincontextual_ai [2026/06/21 17:37] (current) – [Final Thoughts] wikiadmin
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 ===== The Same Outcome. A Very Different Approach. ===== ===== The Same Outcome. A Very Different Approach. =====
  
-The LinkedIn demonstration is impressive.+The LinkedIn demonstration is impressive. {{  pasted:20260614-123104.png?300}}
  
-It demonstrates that modern LLMs can assemble a sophisticated troubleshooting assistant capable of reasoning across historians, alarms, documentation, and process relationships.+It demonstrates that modern LLMs can assemble a sophisticated troubleshooting assistant capable of reasoning across historians, alarms, documentation, and process relationships. In this particular case the focus was an industrial boiler for steam generation.
  
 However, it also highlights an emerging problem: However, it also highlights an emerging problem:
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   * FeatureExtractor   * FeatureExtractor
  
-The result is an OT-friendly implementation that can be inspected, understood, modified, and audited by process engineers and controls personnel.+The result is an OT-friendly implementation that can be inspected, understood, modified, and audited by process engineers and controls personnel.  You can see a short video of the application here: https://youtu.be/OktuIjskAUs
  
 ===== The Problem With "AI Slop" ===== ===== The Problem With "AI Slop" =====
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 > **Contextual AI: intelligence that engineers can understand.** > **Contextual AI: intelligence that engineers can understand.**
 +
 +[[Machinery Fault Investigation]] Coming Soon
contextual_ai.1781385612.txt.gz · Last modified: by wikiadmin

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