Getting started with Semantic Kernel for Java The quickest way to get started with the basics is to get an API key from either OpenAI or Azure OpenAI and to run one of the Java console applications/scripts below
Microsoft.SemanticKernel1.47.0-nightly-250428.1Latest Semantic Kernel common package collection, including SK Core, OpenAI, Azure OpenAI, DALL-E 2. Empowers app owners to integrate cutting-edge LLM technology quickly and easily into their apps. ...
Our GitHub repository serves as the heart of this growing ecosystem—housing the code, discussions, and innovations that propel the Semantic Kernel forward. We invite you to explore, contribute, and join the collaborative force that’s driving the future of AI productivity. With the Microsoft BUILD...
尋找GitHub 上可用的開放 原始碼專案 Semantic Kernel 相關劇集 檢視Microsoft Learn 上的所有情節,並將 Open at Microsoft 新增至集合 每個星期二的新集! 在YouTube上的 Microsoft 播放清單開啟 在Build 2023 觀看 Sam 的主旨演講,以深入瞭解 連線 Frank Boucher |Twitter: @fboucheros Sam Schillace |SubStack:...
#r "nuget: Microsoft.SemanticKernel, *-*" Requirements to run the guides Before running the guides in C#, make sure you have the following installed on your local machine. git or the GitHub app VSCode or Visual Studio An OpenAI key via either Azure OpenAI Service or OpenAI .Net 7 SDK...
To learn more about semantic kernel and see ways you can contribute to this project, check out the architecture with tools and examples that show you how it works and what you can do with it on theGitHub page. For more resources, check out our page atHERE. ...
From the Semantic Kernel team, we want to thank José for his time. We’re always interested in hearing from you. If you have feedback, questions or want to discuss further, feel free to reach out to us and the community on theSemantic Kernel GitHub Discussion Channel! We woul...
Semantic Kernel Join us June 17–18 for a deep dive into Copilot Control System—live expert-led sessions and Q&A on data security, agent lifecycle, adoption, and more!Learn more > AI - Azure AI services nhtkid Iron Contributor Sep 05, 2023...
使用您慣用的開發平臺和架構,包括 GitHub、Visual Studio Code、LangChain、Semantic Kernel 和 AutoGen。 從超過 1,600 種機型中發掘和比較。 透過使用無伺服器 API 提供模組即服務(MaaS),並提供微調服務。 結合多種模型、資料來源和模式。 使用受保護的企業數據建置 RAG,而不需要微調。 協調和管理工程與 LLM 流...
使用您慣用的開發平臺和架構,包括 GitHub、Visual Studio Code、LangChain、Semantic Kernel 和 AutoGen。 從超過 1,600 種機型中發掘和比較。 透過使用無伺服器 API 提供模組即服務(MaaS),並提供微調服務。 結合多種模型、資料來源和模式。 使用受保護的企業數據建置 RAG,而不需要微調。