Predict Turbine Performance with IOT Data
Forecast wind turbine energy output using a predictive model leveraging IOT data.
The Domino AI Hub offers a library of reference projects, pretrained, open-source, and commercial models for a wide range of business tasks and industries to help you accelerate AI projects for both traditional predictive models and Generative AI. Whether tackling time series forecasting or building a generative Q&A application, Domino provides the platform, models, templates, and best practices for you to get started quickly.
Forecast wind turbine energy output using a predictive model leveraging IOT data.
Generate retail investment sentiment analysis with FinBERT in Domino.
Fine-tune an LLM (Falcon-7B) and deploy a text summarization Streamlit app in Domino.
Detect anomalies in EC2 CPU utilization with unsupervised algorithms in Domino, using Numenta Anomaly Benchmark (NAB).
Fine-tune an LLM (Falcon-7B and Falcon-7B-Instruct) on a conversational dataset to generate outputs from user-supplied prompts.
Build, train, and fine-tune production-ready deep learning computer vision models using Deci.ai SuperGradient.
Use Domino Model Sentry to ensure model accuracy, fairness and explainability to mitigate model risk.
Use Artefact's digital marketing Gen AI model in Domino to empower marketeers.
Generate email responses for customer service use cases with Amazon Titan Bedrock and Anthropic foundation model.
(Disclaimer - Domino Reference Projects are starter kits built by Domino researchers. They are not officially supported by Domino. Once loaded, they are yours to use or modify as you see fit. We hope they will be a beneficial tool on your journey!)