Watch Out Meta! Google’s New Gemma AI Models Are Here to Change the Game!

  • Editor
  • February 22, 2024
    Updated
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Google’s recent unveiling of Gemma, a suite of advanced open models for responsible AI development, marks a significant milestone in the evolution of artificial intelligence technologies.

Developed by Google DeepMind and various other Google teams, Gemma draws upon the same groundbreaking research and technology that powered the Gemini models, promising to deliver state-of-the-art performance in a more accessible and ethical manner.

Named after the Latin word for “precious stone,” Gemma is designed to be a valuable asset to developers and researchers, providing lightweight, cutting-edge models that are both open-source and customizable.

“Google’s announcement of Gemma 2B and 7B is a sign of the fast-growing capabilities of smaller language models. A model being able to run directly on a laptop, with equal capabilities to Llama2, is an impressive feat and removes a huge adoption barrier for AI that many organizations possess,” said Iris.ai CTO Victor Botev, in emailed comments to AI Business.

“Bigger isn’t always better. Practical application is more important than massive parameter counts, especially when considering the huge costs involved with many large language models (LLMs),” he added.

In a collaborative effort to enhance the capabilities of these innovative models, NVIDIA has stepped in to optimize Gemma for its AI-infused RTX GPUs.

This partnership between Google and NVIDIA has led to the acceleration of large language model (LLM) optimization, enabling Gemma models to run more efficiently on a wide range of platforms, including data centers, the cloud, and local PCs equipped with NVIDIA RTX GPUs.

The optimizations, facilitated by NVIDIA’s TensorRT-LLM, an open-source library for large language model inference, ensure that Gemma models can leverage the full power of NVIDIA’s hardware, from the widely installed base of over 100 million RTX GPUs globally to the cutting-edge capabilities of Google Cloud’s A3 instances based on the H100 Tensor Core GPU and the forthcoming H200 Tensor Core GPUs.

As this news broke on the internet, people around the world took to their social media platforms to share their thoughts and views related to it.

This partnership not only enhances the performance and cost-efficiency of Gemma models but also broadens their accessibility to developers, allowing for innovative work on domain-specific use cases without the need for high-end equipment.

Some reviews seemed really critical!

Furthermore, NVIDIA’s rich ecosystem of tools, including NVIDIA AI Enterprise and the NeMo framework, enables enterprise developers to fine-tune and deploy optimized Gemma models in their production applications, fostering a more inclusive environment for AI development.

The collaboration between Google and NVIDIA in optimizing Gemma underscores a significant step towards democratizing AI development and ensuring its responsible use.

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Dave Andre

Editor

Digital marketing enthusiast by day, nature wanderer by dusk. Dave Andre blends two decades of AI and SaaS expertise into impactful strategies for SMEs. His weekends? Lost in books on tech trends and rejuvenating on scenic trails.

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