DLAI-535 Artificial Intelligence Fusion Innovation Application Platform
DLAI-535 Artificial Intelligence Fusion Innovation Application Platform
Details Introduction
DLAI- 535 AI Artificial IntelligenceTrainingPlatformconsists of AI workstation, visual application unit, intelligent robot unit, AI terminal device and intelligent interaction unit; it uses intelligent interaction terminal software to realize comprehensive application in various scenarios. TheArtificial Intelligence lab teaching workbenchuses Anaconda + Python 3.11 to build the AI environment and uses the mature PyTorch framework to create basic algorithm modules, including ChatALM3-6B AI large model, Whisper speech recognition large model and yolov5 target detection model，the TVET training equipment suits for differentlevel of vocational schools, universities, vocation institution, Technical Colleges,Polytechnics use.
The DLAI-535 didactic training workbench demonstrates the powerful potential and wide application of AI technology by carefully integrating 5 application scenarios, 3 core AI technologies and 5 intelligent units. The 5 application scenarios are puzzle (chess), elevator prevention and control, general identification, intelligent sorting and smart home, aiming to provide users with a rich variety of intelligent solutions. The 3 types of technologies - visual inspection technology, natural language processing technology and large model application technology - are the technical support of the platform, providing strong technical guarantee for various application scenarios.
Training projects
- AI technologyPython Programming Techniques
- Data Acquisition for AI Datasets
- Data Annotation for AI Datasets
-AI technologyData Cleansing for AI Datasets
-Deployment and application of deep learning framework based on PyTorch
-Model training of artificial intelligence visual recognition model YOLOv5
-Application of computer vision based on PC and YOLOv5
-AI technology ChatALM3-6B AI large model environment deployment and application
-Whisper speech recognition large model environment deployment and application
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