* Updated binaries, using [this build](https://github.com/SciSharp/LLamaSharp/actions/runs/8654672719/job/23733195669) for llama.cpp commit `f7001ccc5aa359fcf41bba19d1c99c3d25c9bcc7`.

 - Added all new functions.
 - Moved some functions (e.g. `SafeLlamaModelHandle` specific functions) into `SafeLlamaModelHandle.cs`
 - Exposed tokens on `SafeLlamaModelHandle` and `LLamaWeights` through a `Tokens` property. As new special tokens are added in the future they can be added here.
 - Changed all token properties to return nullable tokens, to handle some models not having some tokens.
 - Fixed `DefaultSamplingPipeline` to handle no newline token in some models.

* Moved native methods to more specific locations.

 - Context specific things have been moved into `SafeLLamaContextHandle.cs` and made private - they're exposed through C# properties and methods already.
 - Checking that GPU layer count is zero if GPU offload is not supported.
 - Moved methods for creating default structs (`llama_model_quantize_default_params` and `llama_context_default_params`) into relevant structs.

* Removed exception if `GpuLayerCount > 0` when GPU is not supported.

* - Added low level wrapper methods for new per-sequence state load/save in `SafeLLamaContextHandle`
 - Added high level wrapper methods (save/load with `State` object or memory mapped file) in `LLamaContext`
 - Moved native methods for per-sequence state load/save into `SafeLLamaContextHandle`

* Added update and defrag methods for KV cache in `SafeLLamaContextHandle`

* Updated submodule to `f7001ccc5aa359fcf41bba19d1c99c3d25c9bcc7`

* Passing the sequence ID when saving a single sequence state

When using KernelMemory one may have already loaded a model which can then be used with this extension instead of loading the model again.

- Update LLamaSharpTextEmbeddingGeneration and LLamaSharpTextGeneration
- Add Microsoft.KernelMemory.Core package reference
- Update Microsoft.KernelMemory.Abstractions package reference

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