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.
Use Fiddler Auditor to ensure safe LLM's and maintain performance and correctness by evaluating models and prompts.
Streamline statistical analysis of clinical trial data using Domino as a Statistical Computing Environment (SCE).
Fine-tune an LLM (Falcon-40B) to summarize conversations and achieve high performance on domain specific tasks.
Construct an enterprise Q&A app, using embeddings from relevant documents to power semantic search for response generation.
Use NVIDIA's NeMo™ framework for tuning an LLM for multiple tasks.
Use a deep learning algorithm to detect anomalies and other image processing tasks for quality control and defect detection.
Fine-tuning BERT offers effective solutions for NLP tasks like Sentiment Analysis, capturing semantic information from text sequences.
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!)