Gemma is a collection of lightweight, state-of-the-art open models that offer unmatched performance at various sizes. It incorporates comprehensive safety measures and is framework flexible, allowing for seamless compatibility with popular frameworks like JAX, TensorFlow, and PyTorch.

Key Features:

Unmatched performance

Comprehensive safety measures

Framework flexibility

Use Cases:

Image recognition

Natural language processing

Recommendation systems

Benefits:

Improved performance

Enhanced safety

Compatibility with popular frameworks