Gpt-4o

Overview This exercise walks you through fine-tuning a GPT-4o model using Azure AI Foundry to create a custom chat application. The goal is to refine the model’s responses to ensure a consistent conversational tone tailored for a travel assistant. Steps & Configuration Details 1. Deploy a Base Model in Azure AI Foundry Open Azure AI Foundry portal (https://ai.azure.com) and sign in. Search for gpt-4o and select Use this model. Configuration Items: Azure AI Foundry Resource: A valid name. Subscription: Your Azure subscription. Resource Group: Select or create a resource group. Region: Choose from: East US 2 North Central US Sweden Central (regions supporting fine-tuning). Deployment Name: gpt-4o (default). 2. Fine-Tune the Model Download Training Data: https://raw.githubusercontent.com/MicrosoftLearning/mslearn-ai-studio/refs/heads/main/data/travel-finetune-hotel.jsonl Save the file as JSONL (ensure it’s not saved as .txt). Navigate to Fine-tuning under Build and customize. Select Add fine-tune model → Choose gpt-4o → Click Next. Fine-Tuning Configuration: ...

Overview This exercise demonstrates how to create an AI agent using Azure AI Foundry. The agent assists employees with expense claims by leveraging a GPT-4o model and grounding responses in a corporate expenses policy document. Steps & Configuration Details 1. Create an Azure AI Foundry Project Open Azure AI Foundry portal (https://ai.azure.com) and sign in. Select Create an agent. Configuration Items: Azure AI Foundry Resource: A valid name. Subscription: Your Azure subscription. Resource Group: Select or create a resource group. Region: Choose any AI Services-supported location. Project Name: A unique name. After creation, the Agents playground opens automatically, with a GPT-4o base model deployed. ...