Feature Details#

The following are more details about the pages in NeMo Studio.

Projects#

The Projects page serves as the central hub for organizing your AI development workflow. In each project, you can manage datasets, models, and jobs. The resources are scoped to the project and not shared with other projects.

Key Features:

  • Create and manage projects

  • Search and filter projects by name

  • View project metadata (creation date, last modified)

  • Organize datasets, models, and jobs within projects

Learn More: Projects

Datasets#

The Datasets page provides a centralized interface for managing all your data files used in customization, evaluation, and other workflows.

Key Features:

  • Upload and download datasets

  • View dataset contents and metadata

  • Manage dataset versions

  • Filter and search datasets by type and attributes

Learn More: Datasets

Models#

The Models page provides a playground interface for testing and experimenting with models. You can try out different models, configure system prompts, and provide input-output examples for prompt-tuning before committing to full model fine-tuning or deployment.

Key Features:

  • Select and test base models or custom models

  • Configure system prompts to define model behavior

  • Add input-output examples for prompt tuning (few-shot learning)

  • Configure external tools for enhanced model capabilities

  • Adjust hyperparameters (temperature, maximum tokens)

  • Real-time interaction and response testing

Learn More: Models

Customization#

The Customizations page enables you to create and manage model fine-tuning jobs through an intuitive interface.

Key Features:

  • Create new customization jobs

  • Select base models and training datasets

  • Configure customization parameters such as learning rate, epochs, and batch size

  • Monitor job progress and status

  • View training logs and metrics

  • Access resulting custom models

Learn More: Customizations

Evaluation#

The Evaluations page allows you to assess model performance on various benchmarks and custom datasets.

Key Features:

  • Create evaluation jobs

  • Select models and evaluation datasets

  • Configure evaluation metrics and parameters

  • Monitor job progress and completion

  • View detailed results and scores

  • Compare performance across models

Learn More: Evaluations