release: update release info of packages.
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<TargetFrameworks>net6.0;net7.0;net8.0</TargetFrameworks>
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<TargetFrameworks>net6.0;net7.0;net8.0</TargetFrameworks>
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<ImplicitUsings>enable</ImplicitUsings>
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<ImplicitUsings>enable</ImplicitUsings>
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<Nullable>enable</Nullable>
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<Nullable>enable</Nullable>
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<Version>0.11.0</Version>
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<Version>0.11.2</Version>
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<Authors>Xbotter</Authors>
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<Authors>Xbotter</Authors>
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<Company>SciSharp STACK</Company>
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<Company>SciSharp STACK</Company>
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<GeneratePackageOnBuild>true</GeneratePackageOnBuild>
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<GeneratePackageOnBuild>true</GeneratePackageOnBuild>
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The integration of LLamaSharp and Microsoft kernel-memory. It could make it easy to support document search for LLamaSharp model inference.
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The integration of LLamaSharp and Microsoft kernel-memory. It could make it easy to support document search for LLamaSharp model inference.
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</Description>
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</Description>
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<PackageReleaseNotes>
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<PackageReleaseNotes>
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v0.11.0 updated the kernel-memory package and Fixed System.ArgumentException: EmbeddingMode must be true.
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v0.11.2 followed the updating of LLamaSharp.
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</PackageReleaseNotes>
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</PackageReleaseNotes>
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<PackageLicenseExpression>MIT</PackageLicenseExpression>
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<PackageLicenseExpression>MIT</PackageLicenseExpression>
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<PackageOutputPath>packages</PackageOutputPath>
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<PackageOutputPath>packages</PackageOutputPath>
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<ImplicitUsings>enable</ImplicitUsings>
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<ImplicitUsings>enable</ImplicitUsings>
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<Nullable>enable</Nullable>
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<Nullable>enable</Nullable>
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<Version>0.11.0</Version>
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<Version>0.11.2</Version>
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<Authors>Tim Miller, Xbotter</Authors>
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<Authors>Tim Miller, Xbotter</Authors>
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<Company>SciSharp STACK</Company>
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<Company>SciSharp STACK</Company>
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<GeneratePackageOnBuild>true</GeneratePackageOnBuild>
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<GeneratePackageOnBuild>true</GeneratePackageOnBuild>
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The integration of LLamaSharp and Microsoft semantic-kernel.
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The integration of LLamaSharp and Microsoft semantic-kernel.
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</Description>
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</Description>
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<PackageReleaseNotes>
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<PackageReleaseNotes>
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v0.11.0 updates the semantic-kernel package.
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v0.11.2 followed the updating of LLamaSharp.
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</PackageReleaseNotes>
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</PackageReleaseNotes>
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<PackageLicenseExpression>MIT</PackageLicenseExpression>
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<PackageLicenseExpression>MIT</PackageLicenseExpression>
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<PackageOutputPath>packages</PackageOutputPath>
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<PackageOutputPath>packages</PackageOutputPath>
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<Platforms>AnyCPU;x64;Arm64</Platforms>
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<Platforms>AnyCPU;x64;Arm64</Platforms>
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<AllowUnsafeBlocks>True</AllowUnsafeBlocks>
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<AllowUnsafeBlocks>True</AllowUnsafeBlocks>
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<Version>0.11.0</Version>
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<Version>0.11.2</Version>
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<Authors>Rinne, Martin Evans, jlsantiago and all the other contributors in https://github.com/SciSharp/LLamaSharp/graphs/contributors.</Authors>
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<Authors>Rinne, Martin Evans, jlsantiago and all the other contributors in https://github.com/SciSharp/LLamaSharp/graphs/contributors.</Authors>
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<Company>SciSharp STACK</Company>
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<Company>SciSharp STACK</Company>
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<GeneratePackageOnBuild>true</GeneratePackageOnBuild>
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<GeneratePackageOnBuild>true</GeneratePackageOnBuild>
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With the higher-level APIs and RAG support, it's convenient to deploy LLM (Large Language Model) in your application with LLamaSharp.
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With the higher-level APIs and RAG support, it's convenient to deploy LLM (Large Language Model) in your application with LLamaSharp.
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</Description>
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</Description>
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<PackageReleaseNotes>
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<PackageReleaseNotes>
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LLamaSharp 0.11.0 added support for multi-modal (LLaVA), improved the BatchedExecutor and added state management of `ChatSession`.
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LLamaSharp 0.11.2 fixed the performance issue of LLaVA on GPU and improved the log suppression.
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</PackageReleaseNotes>
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</PackageReleaseNotes>
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<PackageLicenseExpression>MIT</PackageLicenseExpression>
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<PackageLicenseExpression>MIT</PackageLicenseExpression>
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<PackageOutputPath>packages</PackageOutputPath>
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<PackageOutputPath>packages</PackageOutputPath>
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