…anage samples saving process

Eliminated the commented-out import statement for WandbLogger to tidy up the code and enhance readability. This helps maintain focus on active components and prevents confusion over unused code. A cleaner structure contributes to better maintainability in the long run.

No functional changes were made, just a step towards a more streamlined codebase.

- Integrated vision processing for videos and images, improving context handling within the model.
- Added error logging for missing utility dependencies to inform users about installation requirements.
- Updated YAML configuration to standardize prompt handling for various video tasks.
- Bumped version number to indicate ongoing development status.

These changes streamline how visuals are managed in the model, contributing to better assistant responses in tasks involving media.

- Added automatic naming for W&B runs if not specified, improving organization.
- Updated video frame rate from 1.0 to 0.5 for better performance and resource management during visual content processing.
- Streamlined W&B logging by removing redundant code, ensuring cleaner execution flow.

These changes optimize logging efficiency and enhance the overall user experience.

- Updated chat template logic for better formatting in responses, ensuring consistent handling of user and assistant roles.
- Reduced maximum new tokens in multiple evaluation files to ensure more concise outputs and improve efficiency.
- Enhanced clarity in few-shot tasks by explicitly labeling question and answer roles in generated text.
- Simplified logging of contextual and target information during evaluation, ensuring better tracking of results.

These adjustments improve the overall output quality and streamline the evaluation processes.