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