What is Gemma in Google - Advent of Gemma

Google Unveils Gemma: A Breakthrough in Open AI Models

In the ever-evolving landscape of artificial intelligence (AI), Google continues to make waves with its groundbreaking innovations. The latest stride in AI technology comes in the form of Gemma, a pioneering creation unveiled by Google DeepMind. Hot on the heels of the recent launch of Gemini Pro 1.5 Pro, Gemma represents a significant leap forward in the realm of open AI models, promising a new era of responsible AI development.

Sundar Pichai, CEO of Google and Alphabet, recently took to X platform to announce the advent of Gemma, describing it as "a family of lightweight, state-of-the-art open models for their class built from the same research & tech used to create the Gemini models." Gemma arrives in two distinct versions: Gemma 2B and Gemma 7B, each offering pre-trained and instruction-tuned models. Google emphasizes that both variants share common foundational elements and infrastructure components with the highly acclaimed Gemini models.

The primary objective behind the development of Gemma is to empower developers and researchers with the essential tools for responsible AI development. This new AI chatbot integrates seamlessly with a myriad of tools commonly used by Google Cloud developers, including Colab and Kaggle notebooks. Furthermore, it extends support to popular frameworks such as JAX, PyTorch, Keras 3.0, and Hugging Face Transformers. The versatility of Gemma enables it to operate across various platforms, from laptops and workstations to the robust Google Cloud infrastructure.

One of the key highlights of Gemma is its exceptional performance capabilities. Google asserts that Gemma surpasses significantly larger models across key benchmarks while adhering to the company's stringent standards for safety and responsible outputs.

In collaboration with Vertex AI, Gemma opens doors for developers to build generative AI applications tailored for lightweight tasks such as text generation, summarization, and Q&A. Additionally, it caters to real-time generative AI use cases requiring low latency. To further enhance Gemma's efficiency, Google has partnered with Nvidia to optimize its compatibility with NVIDIA GPUs.

For developers eager to explore the capabilities of Gemma, the journey begins today with Google Cloud services within Vertex AI and GKE environments. With Gemma, Google is not only pushing the boundaries of AI technology but also paving the way for a more responsible and innovative AI ecosystem.