Azure OpenAI role that adds dataset uploads, fine-tuning and deployment creation to everything OpenAI User allows, yet can neither create resources nor see keys.
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Terms in this definition
- Azure OpenAI
Use of OpenAI models in Azure, including GPT, o-series, embeddings, image and Whisper, through either a Foundry resource or an Azure OpenAI resource. Content Understanding isn't available from a standalone Azure OpenAI resource.
- Role
How an actor normally or expectedly behaves, or the part a person takes in a process. A single actor may hold more than one role.
- Semantic model
Sometimes called an OLAP model, this Power BI and Fabric layer defines the measures, hierarchies, tables and relationships that reports and dashboards query; star schema design is the usual pattern.
- Fine-tuning
Continuing to train a pretrained base model on task examples, through supervised fine-tuning, DPO or RFT, so its weights shift towards a style, format or task. It neither acts as a safety control nor adds new knowledge well.
- Model deployment
Inside a resource, each deployment is a named copy of a Foundry model with its own TPM quota and deployment type. Requests identify the model by this deployment name.
- Chat message roles
Labels on chat messages: instructions go under system, the person's input under user, the model's previous answers under assistant, and results returned by a called tool under tool (or function).
- CRUD
Shorthand for create, read, update and delete, the four basic things you do with data. Data-plane roles in Azure Cosmos DB, for instance, authorise those operations on items.
See Cognitive Services OpenAI Contributor in the full glossary