Welcome to this hands-on AI-900 lab session, where we dive deep into fine-tuning GPT models using Azure AI Foundry! Fine-tuning allows developers to customize AI models for specific industries, use cases, and data sets, improving response accuracy and relevance. Whether you're preparing for the Microsoft AI-900 Certification or working on AI-driven applications, this tutorial will provide a step-by-step walkthrough of fine-tuning GPT models in Azure.
🔍 What You’ll Learn in This Video:
1️⃣ Introduction to Fine-Tuning GPT Models in Azure AI Foundry
2️⃣ Why Fine-Tuning is Essential for Custom AI Applications
3️⃣ Setting Up Azure AI Foundry for GPT Model Fine-Tuning
4️⃣ Uploading & Preparing Training Data for Customization
5️⃣ Training and Deploying a Fine-Tuned GPT Model
6️⃣ Testing & Optimizing Model Performance for Real-World Use Cases
🛠️ Who Is This For?
AI & ML Enthusiasts exploring custom AI solutions
Developers & data scientists working on AI-powered applications
Professionals preparing for the Microsoft AI-900 Certification
Businesses looking to customize AI for customer support, automation, & NLP
📌 Key Highlights:
✅ Hands-on demo of GPT fine-tuning in Azure AI Foundry
✅ Customizing AI models for industry-specific applications
✅ Training and deploying AI models with real-world datasets
✅ Optimizing GPT models for better accuracy & efficiency
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