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/responsible-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/evaluate-models-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/finetune-model-copilot-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/build-copilot-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/get-started-prompt-flow-ai-studio/
Explore the various language models that are available through the Azure AI Studio's model catalog. Understand how to select, deploy, and test a model, and to improve its performance. This podcast episode (2/7) 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/explore-models-azure-ai-studio/
Microsoft Azure offers multiple services that enable developers to build amazing AI-powered solutions. Azure AI Studio brings these services together in a single unified experience for AI development on the Azure cloud platform. This podcast episode (1/7) 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/introduction-to-azure-ai-studio/
Learn how to build Copilot for Microsoft 365 message extension plugins to connect it to external data sources and extend its capabilities. This podcast episode (3/3) has been created using AI on the content from Microsoft Learning Path MS-4010 Build connectors and plugins for Microsoft Copilot for Microsoft 365: https://learn.microsoft.com/en-us/training/modules/copilot-message-extension-plugins/
Learn how to develop a strategy to enhance Copilot for Microsoft 365 with custom skills and organizational knowledge, focusing on plugins and connectors to improve efficiency and productivity across applications. This podcast episode (2/3) has been created using AI on the content from Microsoft Learning Path MS-4010 Build connectors and plugins for Microsoft Copilot for Microsoft 365: https://learn.microsoft.com/en-us/training/modules/choose-copilot-extensibility-development-path/
Learn how to develop a strategy to enhance Copilot for Microsoft 365 with custom skills and organizational knowledge, focusing on plugins and connectors to improve efficiency and productivity across applications. This podcast episode (1/3) has been created using AI on the content from Microsoft Learning Path MS-4010 Build connectors and plugins for Microsoft Copilot for Microsoft 365: https://learn.microsoft.com/en-us/training/modules/microsoft-copilot-extensibility-fundamentals/
Build conversational actions in Copilot Studio that extend Microsoft Copilot for Microsoft 365 with tailored conversations for predictable scenarios that require specific responses. This podcast episode (1/4) has been created using AI on the content from Microsoft Learning Path MS-4009 Extend Microsoft Copilot for Microsoft 365 with Copilot Studio: https://learn.microsoft.com/en-us/training/modules/create-conversational-actions-microsoft-copilot-microsoft-365-copilot-studio/
Use Copilot Studio to create prompt actions that return generative responses to user prompts in Microsoft Copilot for Microsoft 365. This podcast episode (4/5) has been created using AI on the content from Microsoft Learning Path MS-4009 Extend Microsoft Copilot for Microsoft 365 with Copilot Studio: https://learn.microsoft.com/en-us/training/modules/create-prompt-actions-microsoft-copilot-m365-copilot-studio/
Use Copilot Studio to create prompt actions that return generative responses to user prompts in Microsoft Copilot for Microsoft 365. This podcast episode (3/5) has been created using AI on the content from Microsoft Learning Path MS-4009 Extend Microsoft Copilot for Microsoft 365 with Copilot Studio: https://learn.microsoft.com/en-us/training/modules/create-prompt-actions-microsoft-copilot-m365-copilot-studio/
Explore the core considerations and requirements for creating, testing, and publishing Copilot Studio actions to extend Microsoft Copilot for Microsoft 365. This podcast episode (2/5) has been created using AI on the content from Microsoft Learning Path MS-4009 Extend Microsoft Copilot for Microsoft 365 with Copilot Studio: https://learn.microsoft.com/en-us/training/modules/get-started-copilot-studio-actions/
Learn how to develop a strategy to enhance Copilot for Microsoft 365 with custom skills and organizational knowledge, focusing on plugins and connectors to improve efficiency and productivity across applications. This podcast episode (1/4) has been created using AI on the content from Microsoft Learning Path MS-4009 Extend Microsoft Copilot for Microsoft 365 with Copilot Studio: https://learn.microsoft.com/en-us/training/modules/microsoft-copilot-extensibility-fundamentals/
Podcast generated with AI from Microsoft Learn Module Translate speech with the Azure AI Speech service. In this module, you will learn how to: Provision Azure resources for speech translation. Generate text translation from speech. Synthesize spoken translations.
Podcast generated with AI from Microsoft Learn Module Create speech-enabled apps with Azure AI services. In this module, you'll learn how to: Provision an Azure resource for the Azure AI Speech service Use the Azure AI Speech to text API to implement speech recognition Use the Text to speech API to implement speech synthesis Configure audio format and voices Use Speech Synthesis Markup Language (SSML)
Podcast generated with AI from Microsoft Learn Module Translate text with Azure AI Translator service. Listening to this podcast will help you to: Provision a Translator resource Understand language detection, translation, and transliteration Specify translation options Define custom translations
Podcast generated with AI from Microsoft Learn Module Create a custom named entity extraction solution After listening to this podcast, you'll be able to: Understand custom named entities and how they're labeled. Build a Language service project. Label data, train, and deploy an entity extraction model. Submit extraction tasks from your own app.
Podcast generated with AI from Microsoft Learn Module Create a custom text classification solution. In this podcast, you'll learn about: Understand types of classification projects Build a custom text classification project Tag data, train, and deploy a model Submit classification tasks from your own app