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14 changes: 12 additions & 2 deletions examples/README.md
Original file line number Diff line number Diff line change
Expand Up @@ -37,6 +37,8 @@ Tasks and Services
- [Modeling with Python & SAS AutoML](#modeling-with-python--sas-automl)
- [Making direct REST API calls](#making-direct-rest-api-calls)

- [Register an Azure OpenAI GPT model using REST API calls](#register-an-azure-openai-gpt-model-using-rest-api-calls)

---
Register binary classification models
-------------------------------------
Expand Down Expand Up @@ -94,11 +96,11 @@ Generates a requirements.json file which includes the minimal number of dependen

Create and update custom model KPIs
-----------------------------------
Filename: [pzmm_custom_kpis.ipynb](pzmm_custom_kpis.ipynb)
Filename: [pzmm_custom_kpis.ipynb](pzmm_custom_kpi_model_parameters.ipynb)

Level: Intermediate

Create and update custom model parameters and kpis on SAS Model Manager
Create and update custom model parameters and kpis on SAS Model Manager.


Register a SAS classification model
Expand Down Expand Up @@ -206,3 +208,11 @@ Level: Advanced
Demonstrates using `sasctl` to make REST calls over HTTP(S) directly to the SAS microservices.

Use if you need to customize behavior or use functionality not yet exposed through higher-level `sasctl` functions.

Register an Azure OpenAI GPT Model Using REST API Calls
--------------------------
Filename: [register_Azure_OpenAI_model_using_REST_calls.ipynb](register_Azure_OpenAI_model_using_REST_calls.ipynb)

Level: Intermediate

Leverages a GPT-3.5-Turbo model from Azure OpenAI in SAS® Model Manager and SAS® Intelligent Decisioning.
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