Sample Models and Data (GAIFit) with QCI&AI Hardware
Sample Models and Data (GAIFit) with QCI&AI Hardware
Embedded Files
Teaching Videos for Practice-based Learning
Generative AI Images
Stage I: QCI Data Model
QCI&AI-FML Learning Platform: https://kws.oaselab.org/qciai/
QCI Agent & GAI Image: https://kws.oaselab.org/kws-ai/
Data Collection Template: ( Download )
Data Collection Sample: ( Data Collection Steps 1-4 by NUTN Team )
Descriptions
Step 1: Use QCI&AI Learning Tool to collect AIoT data Distance and Light and shooting images.
Step 2: Use QCI Agent & GAI Image to generate texts and conduct a human evaluation to collect HEGAIText.
Step 3: Use QCI Agent & GAI Image to generate images and conduct a human evaluation to collect HEGAIImage.
Stage II: QCI Inference Model
QCI&AI-FML Learning Platform: https://kws.oaselab.org/qciai/
Download Open CI Model ( Open GAIFit Model )
Download Inference Model ( GAIFit Inference Model )
Download Inference Data ( GAIFit Inference Data)
Stage III: QCI Fine-Tuned Model
QCI&AI-FML Learning Platform: https://kws.oaselab.org/qciai/
Download Expert Data ( GAIFit Expert Data )
Download Training Data ( GAIFit Training Data )
Download Thonny 4.1.7: ( Windows ) ｜ ( Mac )
Download Open Learning Tool Python File ( Python File )
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