New Domino Feature Template: Flows
Check out a training script using the new feature Domino Flows!
AI Hub templates
Jumpstart AI using foundation models, templates, and best practicesThe 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.
Browse the Templates
Tasks
Categories
Accelerate clinical trials with BIORag
Secure Document Interaction using RAG with LangChain, Qdrant, and Azure Blob Storage via a Streamlit Application, created in partnership with BIP
Predict turbine performance with IOT data
Forecast wind turbine energy output using a predictive model leveraging IOT data.
Retail investor sentiment analysis
Generate retail investment sentiment analysis with FinBERT in Domino.
Summarize text using a fine-tuned LLM
Fine-tune an LLM (Falcon-7B) and deploy a text summarization Streamlit app in Domino.
Anomaly detection in streaming data
Detect anomalies in EC2 CPU utilization with unsupervised algorithms in Domino, using Numenta Anomaly Benchmark (NAB).
Fine tune an LLM for natural language apps
Fine-tune an LLM (Falcon-7B and Falcon-7B-Instruct) on a conversational dataset to generate outputs from user-supplied prompts.
Summarize product feedback and respond
Generate email responses for customer service use cases with Amazon Titan Bedrock and Anthropic foundation model.
Fine-tune an LLM for text summarization
Fine-tune an LLM (Falcon-40B) to summarize conversations and achieve high performance on domain specific tasks.
Build an enterprise Q&A application
Construct an enterprise Q&A app, using embeddings from relevant documents to power semantic search for response generation.
Defect detection with computer vision
Use a deep learning algorithm to detect anomalies and other image processing tasks for quality control and defect detection.
Sentiment analysis on product reviews
Fine-tuning BERT offers effective solutions for NLP tasks like Sentiment Analysis, capturing semantic information from text sequences.
(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!)