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# Use of Landing AI for brain tumor detection
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- a quick overview of the inner workings of LandingAI's Vision Agent, how it breaks down an initial user requirement to identify candidate components in the application architecture.
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- the diagram below captures what I had in mind for a multi-agent system but LandingAI's vision agent starts this much earlier, taking a fresh approach on old school architecture trade
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- if you want a deeper understanding of the run-time flow of the application I encourage you to instrument it with Weave. Additional information in [this GitHub repo](https://github.com/donbr/vision-agent).
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- the flow in the most recent version of the official [Vision Agent](https://va.landing.ai/agent) app has shifted somewhat, but the number of concepts it helped bring together for me was amazing.
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# Use of Landing AI for brain tumor detection
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14 |
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15 |
- a quick overview of the inner workings of LandingAI's Vision Agent, how it breaks down an initial user requirement to identify candidate components in the application architecture.
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16 |
+
- the diagram below captures what I had in mind for a multi-agent system but LandingAI's vision agent starts this much earlier, taking a fresh approach on old school architecture trade-off analysis.
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- if you want a deeper understanding of the run-time flow of the application I encourage you to instrument it with Weave. Additional information in [this GitHub repo](https://github.com/donbr/vision-agent).
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- the flow in the most recent version of the official [Vision Agent](https://va.landing.ai/agent) app has shifted somewhat, but the number of concepts it helped bring together for me was amazing.
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