@@ -37,6 +37,8 @@ Tasks and Services
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- [ Modeling with Python & SAS AutoML] ( #modeling-with-python--sas-automl )
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- [ Making direct REST API calls] ( #making-direct-rest-api-calls )
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+ - [ Register an Azure OpenAI GPT model using REST API calls] ( #register-an-azure-openai-gpt-model-using-rest-api-calls )
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---
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Register binary classification models
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@@ -94,11 +96,11 @@ Generates a requirements.json file which includes the minimal number of dependen
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Create and update custom model KPIs
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-----------------------------------
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- Filename: [ pzmm_custom_kpis.ipynb] ( pzmm_custom_kpis .ipynb)
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+ Filename: [ pzmm_custom_kpis.ipynb] ( pzmm_custom_kpi_model_parameters .ipynb)
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Level: Intermediate
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- Create and update custom model parameters and kpis on SAS Model Manager
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+ Create and update custom model parameters and kpis on SAS Model Manager.
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Register a SAS classification model
@@ -206,3 +208,11 @@ Level: Advanced
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Demonstrates using ` sasctl ` to make REST calls over HTTP(S) directly to the SAS microservices.
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Use if you need to customize behavior or use functionality not yet exposed through higher-level ` sasctl ` functions.
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+ Register an Azure OpenAI GPT Model Using REST API Calls
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+ --------------------------
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+ Filename: [ register_Azure_OpenAI_model_using_REST_calls.ipynb] ( register_Azure_OpenAI_model_using_REST_calls.ipynb )
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+ Level: Intermediate
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+ Leverages a GPT-3.5-Turbo model from Azure OpenAI in SAS® Model Manager and SAS® Intelligent Decisioning.
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