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Want to build an AI assistant that speaks in your brand’s voice instead of sounding generic? In this video, we walk through the complete process of fine-tuning a language model using Microsoft Foundry — step by step. You’ll learn: • When to fine-tune vs when to use RAG • How to prepare high-quality JSONL training data • How to choose the right base model • How to configure hyperparameters like epochs, batch size, and learning rate • How to deploy and evaluate your fine-tuned model This video is especially useful for: ✔ AI-102 exam preparation ✔ Azure AI engineers ✔ Developers building custom AI assistants ✔ Anyone wanting consistent model behavior and tone By the end of this session, you’ll clearly understand how to teach a model your brand personality and deploy it in real applications. If you're preparing for AI-102, make sure to watch the full playlist for complete coverage. #AI102 #MicrosoftFoundry #AzureAI #FineTuning #LLM #GenerativeAI #AzureOpenAI #MachineLearning #AIDevelopment #ChatGPT Disclaimer: This course is independently created. It is not affiliated with or endorsed by Microsoft. All explanations, concepts, and practice materials are original. They are designed only for educational purposes. This course does NOT contain any actual certification exam questions The content is based on publicly available documentation, real-world scenarios, and personal experience. All product names, logos and trademarks are property of their respective owners. Their use here is solely for identification and educational purposes. Always refer to the Microsoft documentation for accurate and up to date information.