​
General Questions

​
What is Prem?

Prem is a AI platform that enables you to create, fine-tune, evaluate, and deploy custom AI models. It’s designed to make AI integration seamless and efficient, allowing you to focus on developing your product without dealing with AI complexity.

​
What can I do with Prem?

With Prem, you can:

  • Access best-in-class AI models without vendor lock-in
  • Autonomously fine-tune models with your own datasets
  • Evaluate models using built-in metrics and tools
  • Test models with the built-in Playground
  • Monitor your models’ performance over time with Stats

​
How do I get started with Prem?

You can get started by following our Quick Start Guide which will walk you through creating your first custom AI model in minutes.

​
Does Prem require machine learning expertise?

No, Prem is designed to be accessible to users without machine learning expertise. Our Autonomous Fine-Tuning feature handles the complexities of model training for you.

​
Datasets

​
What format should my dataset be in?

Datasets should be in JSONL (JSON Lines) format, where each line represents a single conversation example. Each example should contain a “messages” field with an array of message objects that have “role” and “content” fields.

​
What roles are included in a dataset?

Each conversation in your dataset should include three roles:

  • “system”: Provides context and instructions for the model’s behavior
  • “user”: Represents what a human user would say or ask
  • “assistant”: Contains the ideal response you want the model to learn

​
How do I create a dataset in Prem?

You can follow our Get Started with Datasets guide to learn how to create and format datasets properly.

​
Can I enrich my dataset?

Yes, Prem offers dataset enrichment capabilities. You can learn more about this in our Enrich Dataset documentation.

​
What is a dataset snapshot?

A snapshot is a fixed version of your dataset that can be used for fine-tuning. Creating snapshots allows you to preserve specific versions of your dataset for training or comparison purposes. Learn more in the Create Snapshot guide.

​
Fine-Tuning

​
What is Autonomous Fine-Tuning?

Autonomous Fine-Tuning is Prem’s approach to creating custom models without requiring machine learning expertise. It automatically handles the complexities of the fine-tuning process for you.

​
Why should I fine-tune a model?

Fine-tuning offers several benefits:

  • Adapts models to specific tasks or domains
  • Improves performance for your specific use cases
  • Requires less data and resources than training from scratch
  • Allows customization to your unique requirements
  • Helps overcome limitations in the original model

​
How does the fine-tuning process work?

The basic process involves:

  1. Creating a snapshot of your dataset
  2. Fine-tuning your selected model on this dataset snapshot
  3. Evaluating the resulting model to verify performance

​
How long does fine-tuning take?

Fine-tuning duration depends on your dataset size and the model you’re using. Typically, the process can take anywhere from minutes to a few hours.

​
Evaluations

​
What are model evaluations?

Model evaluations are systematic assessments of how well AI models perform on specific tasks, measuring aspects like accuracy, reliability, fairness, safety, and alignment with human preferences.

​
Why are evaluations necessary?

Evaluations are critical for:

  • Quality assurance before deployment
  • Identifying areas needing improvement
  • Optimizing costs by selecting the most efficient model
  • Mitigating risks by detecting potential biases or unsafe outputs
  • Tracking performance progress over time

​
How does Prem’s evaluation system work?

Prem offers an integrated evaluation system that:

  • Seamlessly evaluates models within the same platform
  • Uses your actual datasets for real-world performance testing
  • Provides comparative analysis between different models
  • Enables continuous monitoring of model performance

​
What metrics are used for evaluation?

Prem offers various evaluation metrics depending on your use case. For specific information about available metrics, please refer to our Evaluations Overview documentation.

​
Models

​
What models are available on Prem?

Prem offers a wide range of models from providers like Anthropic (Claude), OpenAI (GPT), Meta (Llama), Google (Gemma), and others. For a complete and up-to-date list, see our Available Models page.

​
Can I use my own custom models?

Yes, Prem allows you to fine-tune existing models to create your own custom versions tailored to your specific use cases.

​
How do I choose the right model for my use case?

The best model depends on your specific requirements, including:

  • Task complexity
  • Performance needs
  • Resource constraints
  • Budget considerations You can use our Playground and Evaluation tools to compare different models for your specific use case.

​
Pricing and Support

​
How is Prem priced?

For the most current pricing information, please contact our sales team at [email protected].

​
Where can I get help if I have issues?

You can get support by:

​
Do you offer enterprise support?

Yes, we offer enterprise support options. Please contact us at [email protected] to discuss your specific needs.

​
Where can I learn about the latest news from Prem?

You can stay updated on the latest features and improvements by checking our Release Notes or following our Blog.