This session will guide you through the process of successfully deploying advanced AI models on Microsoft Azure AI.

I'll cover topics relevant to both beginners and experienced developers:

- Understanding Advanced AI models: We'll briefly explore what makes a model "advanced" and the considerations for deployment on Azure AI.

- Deployment Options: We'll discuss the different deployment methods available on Azure AI, including Azure Machine Learning and Azure OpenAI services.

- Fine-tuning for Azure OpenAI: For large language models (LLMs) specifically, we'll delve into fine-tuning techniques to customize pre-trained models from Azure OpenAI for your specific needs.

- Responsible Deployment: We'll explore best practices for deploying AI models responsibly, addressing areas like bias mitigation and content safety.

- Azure AI Studio Integration: We'll showcase the functionalities of Azure AI Studio, a unified platform for developing, testing, and deploying AI models, including advanced prompt engineering for LLMs.

By the end of this session, you'll gain a solid understanding of how to effectively deploy your advanced AI models on Azure AI, along with the tools and techniques to ensure responsible use.

Bonus:
The session will also include demonstrations and resources to help you get started with deploying your own advanced AI models on Azure AI.

Target Audience:
This session is ideal for data scientists, analysts, AI enthusiasts, developers, and machine learning engineers who want to leverage Azure AI for deploying advanced AI models.