Evaluate LLMs to Ensure Safety and Performance
Use Fiddler Auditor to ensure safe LLM's and maintain performance and correctness by evaluating models and prompts.
AI Hub Templates
Jumpstart AI Using Foundation Models, Templates, and Best PracticesBrowse the Templates
Tasks
Categories
Automate Biostatistical Analysis
Streamline statistical analysis of clinical trial data using Domino as a Statistical Computing Environment (SCE).
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.
Prompt Tuning for Multiple Tasks using NVIDIA NeMo
Use NVIDIA's NeMo™ framework for tuning an LLM for multiple tasks.
Build a Chatbot by Fine-Tuning Llama 2
Use Llama 2 and supervised fine tuning (SFT) with a pre-trained large language model (LLM) and deploy in Domino.
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.
RNA Sequencing Using Nextflow
Develop computational pipelines for RNA sequencing or for statistical analysis of clinical data using Nextflow pipelines in Domino.
(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!)