Build high-quality LLM apps - from prototyping, testing to production deployment and monitoring.
-
Updated
Jan 23, 2025 - Python
#
ai-application-development
Here are 4 public repositories matching this topic...
MONAI Deploy aims to become the de-facto standard for developing, packaging, testing, deploying and running medical AI applications in clinical production.
python machine-learning ai deep-learning inference dicom pytorch healthcare medical-imaging fhir guidelines radiology pathology open-standard mlops ml-platform monai ai-application-development ai-application-deployment
-
Updated
Jun 14, 2024 - Shell
An AI app template
-
Updated
Apr 14, 2024 - Rust
An application that generates prompts and evaluates LLM responses based on your labeled data.
-
Updated
Jan 25, 2025
Improve this page
Add a description, image, and links to the ai-application-development topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the ai-application-development topic, visit your repo's landing page and select "manage topics."