Kernel Memory is also leveraged to explore new AI patterns, which sometimes are backported to Semantic Kernel and Microsoft libraries, for instance vector stores flexible schemas, advanced filtering, authentica
In addition, the docs are not up to date. For some stuff we need to lok at NEST's docs. Elasticsearch.net GitHub repository Semantic Kernel/Memory-Kernel Introduction to Semantic Memory (feat. Devis Lucato) | Semantic Kernel 11.29.2023 - Semantic Kernel Office Hours (US/Europe Region)Abou...
SemanticKernel.Plugins.Document Microsoft.SemanticKernel.Plugins.Document.FileSystem Microsoft.SemanticKernel.Plugins.Document.OpenXml Microsoft.SemanticKernel.Plugins.Grpc Microsoft.SemanticKernel.Plugins.Memory Microsoft.SemanticKernel.Plugins.MsGraph Microsoft.SemanticKernel.Plugins.MsGraph.Connectors Microsoft...
We welcome contributions to Semantic Kernel. If you have a bug fix or new feature that you would like to contribute, please follow the steps below to submit a pull request (PR). Afterwards, project maintainers will review code changes and merge them once they've been accepted....
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...
从 Microsoft 应用商店获取应用或在 GitHub 上获取源代码 SemanticZoom 控件本身没有任何可视表示形式。 它是一个主机控件,用于管理其他 2 个控件之间的转换,这些控件提供内容的视图,通常是 ListView 或GridView 控件。 将视图控件设置为 SemanticZoom 的 ZoomedInView 和ZoomedOutView 属性。 语义式缩放所需的 3 个...
The new CLU models have better semantic understanding of language than in LUIS, and in turn help make models generalize with a significant reduction of data. While you shouldn’t aim to reduce the amount of data that you have, you should expect better performance and resilience to variations ...
Azure confidential VMs, built on Intel SGX technologyto optimize for confidentiality at the application level, are now in preview, offering six times the number of cores and 2,000 times the encrypted memory for large data workloads. These new offerings help leverage a growing ecosystem of solution...
semantic correspondence between cross-domain images, so that the network could make use of the fine textures of the exemplar and easily hallucinate the textures for the final output (Figure 3). However, prohibitive memory footprint occurs when estimating ...
Windows code base over the past 18 months, EverParse’s formal proofs of correctness and security have provided confidence that code changes don’t introduce unnecessary risk. For instance, when refactoring EverParse specifications, we prove in F* that no semantic changes were ...