Fine-tuning Gemma and/or CodeGemma for multi-turn, agentic workloads.

[bebechien]

Description of the feature request:

A cookbook showcasing agentic workloads.
It extends the capabilities of Gemma and/or CodeGemma by providing resources and support for fine-tuning specifically geared towards agentic use cases involving multi-turn interactions.

What problem are you trying to solve with this feature?

Agentic workflows, which involve autonomous agents performing tasks through multi-turn dialogues and interactions, are becoming increasingly prevalent. These scenarios often require the model to:

1. Maintain Context: Effectively track and utilize information from previous turns in a conversation.
2. Plan and Reason: Generate responses that contribute to a larger goal or objective, requiring strategic planning and reasoning across multiple turns.
3. Tool Use/Function Calling: Seamlessly integrate with external tools and APIs through function calling, potentially requiring maintaining the state and context of these tools across turns.
4. Recover from Errors: Gracefully handle errors, misunderstandings, or requests for clarification within the multi-turn context.

While Gemma and CodeGemma might handle some aspects of these tasks in their current state, fine-tuning specifically for these agentic scenarios would greatly improve the performance and applicability in real-world applications.

Any other information you'd like to share?

No response