NeMo Studio Feature Overview#
NeMo Studio provides a set of features grouped into projects for managing AI development workflows. Each feature is designed for specific tasks and interacts with the corresponding backend microservices.
Feature Summary#
The following table summarizes the available features in NeMo Studio, their primary functions, and the backend microservices they interact with.
Page Name |
Description |
Backend Microservices |
|---|---|---|
Projects |
Organize and manage projects that group related resources such as datasets, models, and jobs. Create, view, search, and filter projects. Project is the root page of NeMo Studio. In each Project page, the rest of the pages listed below are accessible from the left sidebar navigation menu. |
NeMo Entity Store |
Datasets |
Upload, view, and manage datasets for training, evaluation, and testing. Browse dataset contents, manage metadata, and organize data files. |
NeMo Entity Store, NeMo Data Store |
Models |
Interactively test and experiment with models. Configure system prompts, add learning examples for prompt tuning, configure tools, and adjust hyperparameters. |
NeMo Entity Store, NeMo Deployment Management, NIM Proxy |
Customizations |
Create, monitor, and manage model fine-tuning jobs. Select base models and datasets, configure training parameters, and track job progress. |
NeMo Entity Store, NeMo Data Store, NeMo Customizer |
Evaluations |
Run and analyze model evaluation jobs. Configure evaluation metrics, select datasets, and compare model performance across different benchmarks. |
NeMo Entity Store, NeMo Data Store, NeMo Evaluator |