* LLama.Examples: RepoUtils.cs → ConsoleLogger.cs

* LLama.Examples: Examples/Runner.cs → ExampleRunner.cs

* LLama.Examples: delete unused console logger

* LLama.Examples: improve splash screen appearance

the llama_empty_call() no longer shows configuration information on startup, but it will display it automatically the first time a model is engaged

* LLama.Examples: Runner → ExampleRunner

* LLama.Examples: improve model path prompt

The last used model is stored in a config file and is re-used when a blank path is provided

* LLama.Examples: NativeApi.llama_empty_call() at startup

* LLama.Examples: reduce console noise when saving model path

* Embeddings example: set EmbeddingMode true

prevents an exception from being thrown when GetEmbeddings() is called

* Embeddings example: improve documentation and styling

* docs: improve GetEmbeddings page

If EmbeddingMode is not set to true, GetEmbeddings() throws an exception

* docs: improve GetEmbeddings page

The previous commit 6c9ff3158c was inaccurate

* Embeddings example: improve styling

displays the example description after the model is loaded to ensure the text is on the screen at the time the prompt is first requested

Conversations can be "forked", to create a copy of a conversation at a given point. This allows e.g. prompting a conversation with a system prefix just once and then forking it again and again for each individual conversation. Conversations can also be "rewound" to an earlier state.

Added two new examples, demonstrating forking and rewinding.

Swapped `StatelessExecutor` to use `llama_decode`!

- bump semantic kernel to 1.1.0
- bump kernel memory to 0.26

- Growing more than double, if necessary

- Added `logits_i` argument to `Context.ApplyPenalty`
 - Added a new exception type for `llama_decode` return code

- using less `NativeHandle`
 - Using `StreamingTokenDecoder` instead of obsolete detokenize method

- Added a `DecodeAsync` overload which runs the work in a task
 - Replaced some `NativeHandle` usage in `BatchedDecoding` with higher level equivalents.
 - Made the `LLamaBatch` grow when token capacity is exceeded, removing the need to manage token capacity externally.

bump sk to 1.0.1 & km to 0.18

- Refactored the chat completion implementation in `LLamaSharpChatCompletion.cs` to use `StatelessExecutor` instead of `InteractiveExecutor`.
- Updated the chat history prompt in `LLamaSharpChatCompletion.cs` to include a conversation between the assistant and the user.
- Modified the `HistoryTransform` class in `HistoryTransform.cs` to append the assistant role to the chat history prompt.
- Updated the constructor of `LLamaSharpChatCompletion` to accept optional parameters for `historyTransform` and `outputTransform`.
- Modified the `GetChatCompletionsAsync` and `GetChatCompletions` methods in `LLamaSharpChatCompletion.cs` to use the new `StatelessExecutor` and `outputTransform`.
- Updated the `ExtensionMethods.cs` file to include the assistant and system roles in the list of anti-prompts.

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

Add DefaultInferenceParams to Kernel Memory

- Removed special case for exit
 - Added a wait at the end of batched decoding

- Renamed files and updated namespaces in Examples folder.
- Moved files from NewVersion folder to Examples folder.
- Removed TestRunner.cs file.
- Updated Runner.cs to include new examples.
- Update Program.cs to use the new Runner class instead of NewVersionTestRunner
- Update LLama.Examples namespace in Program.cs
- Update await NewVersionTestRunner.Run() in Program.cs to await Runner.Run()