GaiaNet is a platform that allows users to set up, train, evaluate, and deploy AI models. The process involves signing up and logging in, installing GaiaNet software, setting up the environment, starting a new project, adding data sources, selecting an AI model, training the model, evaluating the model, preparing for deployment, deploying the model, gathering feedback, automating retraining, and monitoring the process. GaiaNet supports various data formats and AI model types, making it suitable for both beginners and experienced AI practitioners. Users can export trained models in formats like ONNX, TensorFlow, and PyTorch, and deploy them to cloud services or local servers. The platform also provides tools for real-time monitoring of model performance and automation of retraining processes. GaiaNet’s user-friendly interface and support resources, such as a support team and community forums, make it a comprehensive solution for AI model development.
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Source link: https://medium.com/@yuvrajraguwanhi/heres-a-step-by-step-tutorial-on-how-to-use-gaianet-s-ai-tool-gaianet-ai-3b9b2c649159?source=rss——ai-5
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Tutorial: Using GaiaNet’s AI tool in 9 simple steps #AIinstructions
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