Teams AI library

AI百科3个月前发布 快创云
58 0

  Teams AI library simplifies the integration of GPT-based language models and user intent engines within Microsoft Teams, streamlining the development process for conversational bots. With prebuilt, reusable code snippets, developers can quickly build intelligent apps without needing to write and maintain complex conversational bot logic. This capabilities-driven approach allows for a focus on business logic rather than the intricacies of Teams conversational frameworks.

  The library enables apps to engage users in natural and conversational interactions, guiding them toward specific app functionalities or tasks. Built-in conversational bot capabilities, such as Power Virtual Agents or the Bot Framework, handle the complexities of natural language processing.

  Key features of the Teams AI library include:

  • Use prebuilt templates to add Teams app capabilities.
  • Implement prompt engineering to add ChatGPT-like conversational experiences to your bot, with built-in safety features like moderation to ensure appropriate responses.
  • Utilize the library’s planning engine that identifies user intent and maps it to actions implemented by the developer.
  • Support for any LLM of choice without changing bot logic.

  The library supports both JavaScript and C# and provides the flexibility to create AI-powered experiences using tools and languages that best suit project needs. It ensures optimal outcomes for Teams users by harnessing AI capabilities to build intelligent, user-friendly applications for Microsoft Teams.

  Developers can use the library to build an intelligent lightbot that controls lighting in response to user commands, improving the user experience and engagement. To ensure a smooth and interactive experience, developers can leverage the library’s features and updates, including new models like Llama2, improved token management with object-based prompts, and support for RAG in prompts.

  Function calls within the AI SDK unlock capabilities such as performing complex calculations, retrieving data, creating smoother workflows, and enabling dynamic interactions with users. The library provides samples and documentation to help developers incorporate conversational flows, message extensions, typeahead search functionality, and more into their Teams applications. Whether building a simple echo bot or a more complex DevOps bot, the Teams AI library offers a range of samples and tools to get started.

© 版权声明

相关文章