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Sundar Pichai Introduces Gemma: Google’s State-of-the-Art Open Models for Developer Use

Gemma

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Sundar Pichai Introduces Gemma

Google has recently introduced Gemma, an innovative advancement in artificial intelligence (AI) technology, unveiled by Google DeepMind. Building upon the recent release of Gemini Pro 1.5 Pro, Gemma represents a notable progression in the field of open AI models.

Sundar Pichai, CEO of Google and Alphabet, utilized a platform to unveil Gemma, heralding it as “a collection of cutting-edge, lightweight open models designed for their class, crafted from the same research and technology that powered the creation of the Gemini models.”

Google has introduced two versions of AI: AI 2B and Gemma 7B, each equipped with pre-trained and instruction-tuned models. Google emphasizes that both variants share fundamental elements and infrastructure components with the Gemini models. The main objective behind AI development is to furnish developers and researchers with the necessary tools for responsible AI development.

The latest AI chatbot now seamlessly integrates with a wide array of tools frequently utilized by Google Cloud developers, such as Colab and Kaggle notebooks. Additionally, it provides robust support for leading frameworks like JAX, PyTorch, Keras 3.0, and Hugging Face Transformers. Google highlights Gemma’s adaptability, enabling it to function seamlessly across diverse platforms, ranging from laptops and workstations to the Google Cloud infrastructure.

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Google claims that AI surpasses much larger models in performance across critical benchmarks while maintaining the company’s rigorous standards for safety and responsible outputs.

In partnership with Vertex AI, provides developers with a platform to create generative AI applications focused on lightweight tasks like text generation, summarization, and Q&A. It also supports real-time generative AI applications that require low latency. Google has collaborated with Nvidia to optimize AI compatibility with NVIDIA GPUs, further improving its efficiency.

Developers eager to delve into Gemma can begin their exploration today by utilizing Google Cloud services within Vertex AI and GKE environments.

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