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On Fri, 2 Aug, 4:02 PM UTC
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Google announces new open AI model Gemma 2 2B; Aims to beat other generative AI models
Google claims that the Gemma 2 2B has outperformed its big competitors including ChatGPT 3.5 Google announced its new AI model Gemma 2 2B, a new open-source AI model under the Gemma 2 series. Google says that Gemma 2 2B is a compact yet more efficient language model. The model is designed to perform tasks such as text generation, translation, and answering questions. According to an official blog Google mentioned that it has released a trio of new, "open" generative AI models. It further claimed that these generative AI models are "safer," "smaller" and "more transparent" than others. Google introduces new AI model According to sources Google's Gemma series of models can be different from its Gemini models. But how is Gemma different? Google describes it in a blog post, "Gemma Scope is made up of] specialized neural networks that help us unpack the dense, complex information processed by Gemma 2, expanding it into a form that's easier to analyze and understand." The company further adds that by studying these expanded views, researchers can gain valuable insights into how Gemma 2 identifies patterns, processes information and ultimately makes predictions. Google also plans to foster goodwill within the developer community with the Gemma series, just like Meta is attempting to do with Llama. Google has optimised the Gemma model for NVIDIA GPUs, making it accessible to a broader developer community. Additionally, the AI models are also compatible with popular AI frameworks such as Keras, JAX and Hugging Face, among others. Other updates The release of the new Gemma 2 models comes just after the U.S. Commerce Department endorsed open AI models in a preliminary report. The report stated that open models have the potential to broaden generative AI's availability to smaller companies, researchers, non-profits and individual developers. It further highlighted that there is a need for capabilities to monitor such models for potential risks. Google is continuously in the process of updating itself. Recently on Wednesday, Google announced a feature, called About This Image,in an official blog. It also said that it will work in collaboration with 'Circle to Search' for phones that support that feature and more broadly in 'Google Lens' for iOS and Android. Additionally, the search results could also include how other news outlets or websites have used the photo, the photo's metadata (information from inside a photo file that may include details about the file). Another update that Google came up with is allowing Chrome to offer a "Tab compare" function, using AI to create comparison tables for products across multiple open tabs. This feature aims to simplify the online shopping experience.
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Google DeepMind releases Gemma 2 2B, its most compact, open-source AI model
Google DeepMind has released a new, compact, open-source AI model, Gemma 2 2B, on Thursday. Containing just 2.6 billion parameters, the language model surpasses rivals like OpenAI's GPT-3.5 and Mistral AI's Mixtral 8x7B, which are much bigger in size. The AI model is also deliberately nifty so as to fit on to a wider range of devices including smartphones while offering GPT-3.5's level of performance. LMSYS, an independent AI research organisation that tested Gemma 2 2B said that it achieved a score of 1130 in evaluation which placed it slightly ahead of GPT-3.5 Turbo-0613 and Mistral-8x7B. The latter models have more than ten times the parameters. Google I/O Connect | Updates on developer centric project; tie-up with MeitY Google's Developer Blog stated that Gemma 2 2B had been built using distillation techniques which effectively reduces computational requirements while distilling knowledge from larger models into smaller ones. (For top technology news of the day, subscribe to our tech newsletter Today's Cache) Earlier in June, Google DeepMind had announced the Gemma 2 9B and 27B models, but has moved to building even smaller and more efficient models as the market towards mobile and edge-based AI is expected to grow. Developers can access the model on the Hugging Face platform and can be implemented via PyTorch and TensorFlow. Read Comments
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Google has introduced Gemma, a compact and efficient open-source AI model, aiming to compete with other generative AI models in the market. This release marks a significant step in Google's AI strategy and accessibility efforts.
In a significant move to democratize artificial intelligence, Google has unveiled Gemma, its latest open-source AI model 1. This release marks Google's entry into the competitive landscape of open AI models, challenging existing players in the field.
Gemma comes in two variants: a 2 billion parameter model and a larger 7 billion parameter version. The smaller 2.2B model is particularly noteworthy for its efficiency and compact size 2. Google claims that Gemma outperforms other models of similar size, showcasing improved performance across various tasks.
One of Gemma's standout features is its accessibility. Google has made the model available on popular AI platforms such as Hugging Face, Kaggle, and Google's own AI Studio 1. This wide availability ensures that developers and researchers can easily access and experiment with the model.
Google emphasizes the importance of responsible AI development with Gemma. The company has implemented safeguards and provides tools for content moderation 2. This focus on safety aligns with growing concerns about the potential misuse of AI technologies.
Gemma's release positions Google to compete directly with other open-source AI models, including those from Meta and Mistral AI 1. This move reflects the increasing importance of open-source models in the AI ecosystem and Google's commitment to maintaining a strong presence in this space.
The compact nature of Gemma, especially the 2.2B version, makes it suitable for a wide range of applications, including on-device AI and edge computing 2. This could potentially lead to more efficient and privacy-preserving AI implementations across various industries.
The release of Gemma is part of Google's broader AI strategy, which includes both proprietary and open-source offerings. By providing a high-quality open-source model, Google aims to foster innovation and collaboration within the AI community while maintaining its position as a leader in AI research and development 12.
Reference
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The Financial Express
|Google announces new open AI model Gemma 2 2B; Aims to beat other generative AI models
Google has released updated versions of its Gemma large language models, focusing on improved performance, reduced size, and enhanced safety features. These open-source AI models aim to democratize AI development while prioritizing responsible use.
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Google introduces Gemma 3, an open-source AI model optimized for single-GPU performance, featuring multimodal capabilities, extended context window, and improved efficiency compared to larger models.
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Google has introduced PaliGemma 2, an advanced family of vision-language AI models built on the Gemma 2 architecture. These open-source models offer improved capabilities in visual understanding and task transfer across various domains.
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2 Sources
Recent leaks suggest Google is preparing to launch Gemini 2.0, a powerful AI model that could rival OpenAI's upcoming o1. The new model promises enhanced capabilities in reasoning, multimodal processing, and faster performance.
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5 Sources
Google DeepMind's Gemini AI platform has attracted over 1.5 million developers worldwide, with India emerging as one of the largest user bases. The company is expanding access to advanced AI models and emphasizing India's potential in driving AI innovation.
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