Gemma open source AI model: what is it? Advantages

Google has launched the new artificial intelligence model, Gemma, open source, in a major shift in the company’s approach regarding its work related to AI technologies. Google said that the new artificial intelligence model, or multiple models, which it calls Gemma, are designed based on the same research and technologies that it relied on in Model development Geminiproviding researchers and developers with a distinctive option in a smaller size.

Google said that the launch of the open source artificial intelligence model Gemma represents a new step in the company’s commitment to contributing to the world of open artificial intelligence, adding to its long history of launching distinctive technologies such as TensorFlow, BERT, and AlphaFold.

Features of the Gemma artificial intelligence model, open source

These are the most prominent features of Google's open source Gemma model:

• Two versions to meet the different needs of users: The Gemma AI model comes in two sizes 2B and 7B, which are designed to be lightweight models that can run on the laptops of developers and researchers, making them available for a wide range of applications and users.
• Compatibility with various platforms: The open source Gemma AI model supports compatibility with various devices, including laptops, desktops, IoT devices, mobile phones, and cloud systems. Google also said it has performance-tuned the models to work on NVIDIA GPUs andGoogle Cloud TPUensuring widespread accessibility.
• Responsible AI Toolkit: Along with Gemma Models, Google has released the Responsible AI Toolkit, which provides developers with guidance and tools for creating safer AI applications, with a focus on responsible use and innovation.
• Open Model Philosophy: Unlike traditional open source models, GEMA models come with terms of use that allow for responsible commercial use and distribution. This approach aims to balance the benefits of open access with the need to mitigate the risks of misuse.

Uses of Gemma

Google says that the open source Gemma model for artificial intelligence is capable of performing a set of linguistic tasks similar to other models such as GPT and others, including the ability to generate text, summarization, and create chat bots based on AI technologies. The model is also suitable for developers who are looking for performance. Cutting edge into smaller, more cost-effective models, Google claims that despite the model's small size, Gemma outperforms larger models significantly in key benchmarks.

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How to get to Gemma

Developers and researchers can access the open source Google Gemma model through platforms such as Kaggle, Hugging Face, NVIDIA NeMo, and Vertex AI, and Google provides free access to the model at KaggleIt also offers a $300 credit for first-time Google Cloud users, with opportunities for researchers to get up to $500,000 in Google Cloud credits for using the model.

What is the difference between the Gemma model and the Gemini model from Google?

While the open source Gemma artificial intelligence model is based on the Gemini model from Google, the company has confirmed reliance on the same technologies and research to provide a lightweight, better cost-effective open source model for researchers and developers.

These are the most prominent differences and variations between the Gemmi model and the Gemini model:

• the size: The Gemma model is smaller than the Gemini model, making it more usable and more cost-effective to operate. Gemma is currently available in two sizes: 2B and 7B, and each model has two different types, basic (pre-trained) and prompts.
• Accessibility: While Gemini models are available to end customers through web application or Gemini app For Android and iPhone, the Gemma model or models are designed just for developers. Developers can access Gemma through APIs or Vertex AI, making it an open source model that is readily available for developers, researchers, and companies to test and integrate into their own applications.
• ApplicationsGemini models are designed for a wide range of applications, including creating written content and answering questions, while open source Gemma models are designed for language-based tasks, such as text generation, summarization, and chatbots.
• terms of use: Unlike Gemini templates that are exclusively owned by Google, Gemma templates come with terms of use that allow responsible commercial use and distribution.

What are the competing open AI models to Google's Gemma model?

Google's new open source AI model, Gemma, will compete with other open source language models such as LLAMA-2 developed by Meta and Mistral 7B, but Gemma outperforms these competing models.