google-deepmind / google-deepmind/gemma
[Demo] Gemma Model Function Calling Exploration
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- Python
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Description
Hello Gemma Team and Community,
I'm excited to share my implementation of an enhanced function calling system for Gemma, inspired by [Google DeepMind's GSoC project proposals](https://gist.github.com/dynamicwebpaige/92f7739ad69d2863ac7e2032fe52fbad#11-gemma-model-projects-).
## Overview
This implementation enables Gemma to interact seamlessly with external systems (APIs, databases, services) through a robust function calling mechanism. The system is designed to be extensible, type-safe, and developer-friendly.
## Key Components
- **Function Registry**: Dynamic registration and type-safe validation
- **Function Caller**: Parameter validation and error handling
- **Validation System**: Input/output validation and schema management
- **Integration Examples**: Database operations, file system management, API integrations
## Implementation Details
- **Specification**: Clear input/output formats, error handling, integration protocols
- **Documentation**: Architecture overview, code examples, best practices
- **Testing**: Unit and integration tests for all components
## Repository
https://github.com/Konikz/gemma-fnCall-flow
I would appreciate your feedback on this implementation and your vision for its future development.
Thank you for your consideration.
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