AIFoundryModel.OpenAI.Davinci002 Field
Definition
Important
Some information relates to prerelease product that may be substantially modified before it’s released. Microsoft makes no warranties, express or implied, with respect to the information provided here.
# Azure Direct Models Direct from Azure models are a select portfolio curated for their market-differentiated capabilities: - Secure and managed by Microsoft: Purchase and manage models directly through Azure with a single license, consistent support, and no third-party dependencies, backed by Azure's enterprise-grade infrastructure. - Streamlined operations: Benefit from unified billing, governance, and seamless PTU portability across models hosted on Azure - all as part of one Azure AI Foundry platform. - Future-ready flexibility: Access the latest models as they become available, and easily test, deploy, or switch between them within Azure AI Foundry; reducing integration effort. - Cost control and optimization: Scale on demand with pay-as-you-go flexibility or reserve PTUs for predictable performance and savings. Learn more about Direct from Azure models. # Key capabilities ## About this model The provider has not supplied this information. ## Key model capabilities Davinci-002 supports fine-tuning, allowing developers and businesses to customize the model for specific applications. # Use cases See Responsible AI for additional considerations for responsible use. ## Key use cases The provider has not supplied this information. ## Out of scope use cases The provider has not supplied this information. # Pricing Pricing is based on a number of factors, including deployment type and tokens used. See pricing details here. # Technical specs The provider has not supplied this information. ## Training cut-off date This model supports 16384 max input tokens and training data is up to Sep 2021. ## Training time The provider has not supplied this information. ## Input formats Your training data and validation data sets consist of input and output examples for how you would like the model to perform. The training and validation data you use must be formatted as a JSON Lines (JSONL) document in which each line represents a single prompt-completion pair. ## Output formats The provider has not supplied this information. ## Supported languages The provider has not supplied this information. ## Sample JSON response The provider has not supplied this information. ## Model architecture Davinci-002 is the latest version of Davinci, a gpt-3 based model. ## Long context This model supports 16384 max input tokens. ## Optimizing model performance The provider has not supplied this information. ## Additional assets Learn more at <https://dori-uw-1.kuma-moon.com/azure/cognitive-services/openai/concepts/models> # Training disclosure ## Training, testing and validation The provider has not supplied this information. # Distribution ## Distribution channels The provider has not supplied this information. # More information The provider has not supplied this information.
public static readonly Aspire.Hosting.Azure.AIFoundryModel Davinci002;
staticval mutable Davinci002 : Aspire.Hosting.Azure.AIFoundryModel
Public Shared ReadOnly Davinci002 As AIFoundryModel