* Added the ability to save and load individual conversations in a batched executor.
 - New example
 - Added `BatchedExecutor.Load(filepath)` method
 - Added `Conversation.Save(filepath)` method
 - Added new (currently internal) `SaveState`/`LoadState` methods in LLamaContext which can stash some extra binary data in the header

* Added ability to save/load a `Conversation` to an in-memory state, instead of to file.

* Moved the new save/load methods out to an extension class specifically for the batched executor.

* Removed unnecessary spaces

Add an Example and modifications to the interactive executor to enable Llava Models.

Just a preview / demo

* Added a `Guidance` method to `LLamaTokenDataArray` which applies classifier free guidance

* Factored out a safer `llama_sample_apply_guidance` method based on spans

* Created a guided sampling demo using the batched executor

* fixed comment, "classifier free" not "context free"

* Rebased onto master and fixed breakage due to changes in `BaseSamplingPipeline`

* Asking user for guidance weight

* Progress bar in batched fork demo

* Improved fork example (using tree display)

* Added proper disposal of resources in batched examples

* Added some more comments in BatchedExecutorGuidance

- UserSettings, simplifying the validation/re-ask loop down to one call
 - Program, adding colour to figlet title
 - Batched examples, showing default prompt
 - ExampleRunner, resetting state after running an example

* LLama.Examples: disable console logging

* LLama.Examples: rename titles to signal grouped topics

* LLama.Examples: add additional PDF for Q&A

* LLama.Examples: improve kernel memory demo

multi-document ingestion

* LLama.Examples: improve message before resetting to main menu

* LLama.Examples: document Q&A with local memory

* 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