CodeQL Pointer Arithmetic

- Added `COMMON_DEFINE` env var which will contain all common defines for all platforms (experimental)

feat: adapts to SK Kernel Memory.

docs: add example models for v0.7.0.

docs: add related repos.

fix: binary not copied on MAC platform.

Bumps [Swashbuckle.AspNetCore](https://github.com/domaindrivendev/Swashbuckle.AspNetCore) from 6.2.3 to 6.5.0.
- [Release notes](https://github.com/domaindrivendev/Swashbuckle.AspNetCore/releases)
- [Commits](https://github.com/domaindrivendev/Swashbuckle.AspNetCore/compare/v6.2.3...v6.5.0)

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updated-dependencies:
- dependency-name: Swashbuckle.AspNetCore
  dependency-type: direct:production
  update-type: version-update:semver-minor
...

Signed-off-by: dependabot[bot] <support@github.com>

Bumps [xunit](https://github.com/xunit/xunit) from 2.5.0 to 2.6.1.
- [Commits](https://github.com/xunit/xunit/compare/2.5.0...2.6.1)

---
updated-dependencies:
- dependency-name: xunit
  dependency-type: direct:production
  update-type: version-update:semver-minor
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Signed-off-by: dependabot[bot] <support@github.com>

Bumps [Microsoft.SemanticKernel](https://github.com/microsoft/semantic-kernel) from 1.0.0-beta1 to 1.0.0-beta4.
- [Release notes](https://github.com/microsoft/semantic-kernel/releases)
- [Commits](https://github.com/microsoft/semantic-kernel/compare/dotnet-1.0.0-beta1...dotnet-1.0.0-beta4)

---
updated-dependencies:
- dependency-name: Microsoft.SemanticKernel
  dependency-type: direct:production
  update-type: version-update:semver-patch
...

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New Binaries, Improved Sampling API, Batch Decoding Prototype

Should fix the extreme speed loss.

Fixed GitHub Build Process

- Removed all `record struct` uses in native code
 - Removed usage of `readonly` in native structs

Minor fix:
 - Added sequential layout to `LLamaModelQuantizeParams`

Added a project reference to LLama.KernelMemory  in the LLama.Examples.csproj file.

🔧 Add KernelMemory class and update TestRunner

Added a new class KernelMemory to the LLama.Examples.NewVersion namespace, which includes a Run method that demonstrates the usage of Semantic Kernel Memory. The class imports a sample PDF document and asks a question to the memory, displaying the answer and relevant sources.

Updated the TestRunner class in the same namespace to include an option (choice 15) to run the KernelMemory example.

🔧 Fix typo in LLamaSharpTextEmbeddingGeneration class

Fixed a typo in the LLamaSharpTextEmbeddingGeneration class where the LlamaSharpConfig variable was incorrectly named as LlamaSharpConfig.

Added XML documentation for the LLamaSharpTextEmbeddingGeneration constructor, Dispose method, and GenerateEmbeddingsAsync method.

Summary:
- Added project reference to LLama.KernelMemory and LLama.SemanticKernel in LLama.Examples.csproj
- Added KernelMemory class to demonstrate Semantic Kernel Memory usage
- Updated TestRunner class to include option for running KernelMemory example
- Fixed typo in LLamaSharpTextEmbeddingGeneration class
- Added XML documentation for constructor, Dispose method, and GenerateEmbeddingsAsync method in LLamaSharpTextEmbeddingGeneration class

Add the LLamaSharp.KernelMemory project to the solution. This project includes classes for text embedding generation and text generation using the LLamaSharp library.