v1.15.0.0 release notes + TensorFlow docs #806
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Add TensorFlow doc
Ai overview guide
added link to AI from Meadow.OS home
adrianstevens
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adrianstevens
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patridge
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Oct 15, 2024
| * **Sensory Input** - ML training pipelines and modern LLMs are gobbling up data at an unprecedented pace. The edge provides a wealth of data from the real world that can only be gathered from field-deployed devices. Digital twins would be impossible without the edge sensory input that feeds them, and the insights from not only individual devices, but in aggregate, they can unlock insights that can massively increase overall efficiency and productivity. | ||
| * **Local Model Execution** - While it’s generally not practical to train models on edge, these devices have outsized capabilities to execute models locally. For instance, realtime defect detection via an attached camera can run easily on a microcontroller (MCU), and object detection in multi-channel video can be done on a multi-GPU Jetson NX rather efficiently. This seminal post by Pete Warden (Useful Sensors) explains why non-LLM AI/ML models run so efficiently on low-powered devices. | ||
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| # Benefits of Running @ the Edge |
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We still need these to not be H1 level headers for SEO friendliness, but should be fine for now.
patridge
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Oct 15, 2024
patridge
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Oct 15, 2024
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