AI-3016 (4/7) Build a RAG-based copilot solution with your own data using Azure AI Studio

AI-3016 (7/7) Responsible generative AI in AI Studio

Generative AI enables amazing creative solutions, but must be implemented responsibly to minimize the risk of harmful content generation. This podcast episode (7/7) has been created using AI on the content from Microsoft Learning Path AI-3016 Develop your own custom copilots with Azure AI Studio: ⁠ [https://learn.microsoft.com/en-us/training/modules/microsoft-copilot-extensibility-fundamentals/]https://learn.microsoft.com/en-us/training/modules/responsible-ai-studio/ [https://learn.microsoft.com/en-us/training/modules/responsible-ai-studio/]

AI-3016 (6/7) Evaluate the performance of your custom copilot in the Azure AI Studio

Evaluating copilots is essential to ensure your custom copilots meet user needs, provide accurate responses, and continuously improve over time. Discover how to assess and optimize the performance of your custom copilot using the tools and features available in the Azure AI Studio. This podcast episode (6/7) has been created using AI on the content from Microsoft Learning Path AI-3016 Develop your own custom copilots with Azure AI Studio: ⁠ [https://learn.microsoft.com/en-us/training/modules/microsoft-copilot-extensibility-fundamentals/]https://learn.microsoft.com/en-us/training/modules/evaluate-models-azure-ai-studio/ [https://learn.microsoft.com/en-us/training/modules/evaluate-models-azure-ai-studio/]

AI-3016 (5/7) Integrate a fine-tuned language model with your copilot in the Azure AI Studio

Train a base language model on a chat-completion task. The model catalog in the Azure AI Studio offers many open-source models that can be fine-tuned for your specific model behavior needs. This podcast episode (5/7) has been created using AI on the content from Microsoft Learning Path AI-3016 Develop your own custom copilots with Azure AI Studio: ⁠ [https://learn.microsoft.com/en-us/training/modules/microsoft-copilot-extensibility-fundamentals/]https://learn.microsoft.com/en-us/training/modules/finetune-model-copilot-ai-studio/ [https://learn.microsoft.com/en-us/training/modules/finetune-model-copilot-ai-studio/]

AI-3016 (4/7) Build a RAG-based copilot solution with your own data using Azure AI Studio

Copilots can work alongside you to provide suggestions, generate content, or help you make decisions. Copilots use language models as a form of generative artificial intelligence (AI) and will answer your questions using the data they were trained on. To ensure a copilot retrieves information from a specific source, you can add your own data when building a copilot with the Azure AI Studio. This podcast episode (4/7) has been created using AI on the content from Microsoft Learning Path AI-3016 Develop your own custom copilots with Azure AI Studio: ⁠ [https://learn.microsoft.com/en-us/training/modules/microsoft-copilot-extensibility-fundamentals/]https://learn.microsoft.com/en-us/training/modules/build-copilot-ai-studio/ [https://learn.microsoft.com/en-us/training/modules/build-copilot-ai-studio/]

AI-3016 (3/7) Get started with prompt flow to develop language model apps in the Azure AI Studio

Learn about how to use prompt flow to develop applications that leverage language models in the Azure AI Studio. This podcast episode (3/7) has been created using AI on the content from Microsoft Learning Path AI-3016 Develop your own custom copilots with Azure AI Studio: ⁠ [https://learn.microsoft.com/en-us/training/modules/microsoft-copilot-extensibility-fundamentals/]https://learn.microsoft.com/en-us/training/modules/get-started-prompt-flow-ai-studio/ [https://learn.microsoft.com/en-us/training/modules/get-started-prompt-flow-ai-studio/]