Check out the Get Started guide to create your first project and see the complete workflow in action.

​
What are Projects?

Projects in Prem Studio are your orchestration hub for end-to-end AI model development. Instead of managing datasets, fine-tuning jobs, and evaluations separately, Projects provide a guided workflow that connects all these components into a cohesive development pipeline. Think of Projects as your AI development roadmap — they guide you from raw data to a production-ready, evaluated model through a structured, step-by-step process.

​
The Complete Project Workflow

Project Workflow: Project Setup → Dataset Creation → Fine-tuning → Metrics -> Evaluation Every project follows this proven workflow:
1

Project Setup

Define your project name and objective.
2

Dataset Creation

Choose your path:
  • Upload existing JSONL datasets if you already have training data
  • Generate synthetic datasets from PDFs, websites, videos, or other sources
Learn more: Datasets Overview | Synthetic Data Guide
3

Fine-tuning

Train your selected model on your dataset with automated parameter optimization.Learn more: Fine-tuning Overview | Get Started with Fine-tuning
4

Metrics

Define custom evaluation rules and metrics that align with your specific use case and quality standards.Learn more: Evaluation Metrics | Writing Good Metrics
5

Evaluation

Test your fine-tuned model against your defined metrics to validate performance and reliability.Learn more: Evaluations Overview | Get Started with Evaluations
6

Project Complete

Deploy your validated model with confidence, knowing it meets your quality standards.
7

Iteration Loops

Projects are not one-and-done — they’re designed for iteration:
  • Dataset Expansion → Refine or add new samples when evaluation highlights weaknesses.
  • More Fine-tuning Jobs → Train new models with different parameters or approaches.
  • New Metrics → Add metrics to better evaluate new behaviors.
  • Re-evaluation → Apply the same or updated metrics to compare across models.

​
Why Use Projects?

​
Guided Experience

Projects eliminate guesswork by providing a clear, sequential workflow. Perfect for users new to AI development or teams wanting standardized processes.

​
Seamless Integration

All components (datasets, fine-tuning, evaluation) work together seamlessly. No need to manually connect outputs from one step to inputs of the next.

​
Next Step: Create a Project

Get Started with Projects

Create your first AI project with our step-by-step creation guide.

​
Deep Dive into Components

While Projects orchestrate the overall workflow, you can learn more about each component:

Datasets

Learn about data preparation and synthetic generation.

Fine-tuning

Understand model training and customization.

Evaluations

Explore model testing and validation methods.