Tech
Google Introduces Gemma: Open-Source Lightweight AI Models for Developers
Google Introduces Gemma: Open-Source Lightweight AI Models for Developers
On Wednesday, February 21, Google announced the introduction of Gemma, a new family of open-source, lightweight artificial intelligence (AI) models. Researchers and developers now have access to two different versions of Gemma: Gemma 2B and Gemma 7B. According to the tech behemoth, Gemma was developed using the same tools and research as the Gemini AI models. The Gemini 1.5 model was interestingly revealed last week. With these reduced language models, task-specific AI solutions can be created, and the company permits distribution and responsible commercial use.
Google CEO Sundar Pichai made the announcement in a post on X, formerly known as Twitter. “Gemma is available worldwide starting today in two sizes (2B and 7B), supports a wide range of tools and systems, and runs on a developer laptop, workstation, or @GoogleCloud,” he stated. “Demonstrating strong performance across benchmarks for language understanding and reasoning.” A developer-focused landing page for the AI model has also been created by the company. On this page, users can access code samples and quickstart links for Kaggle Models, quickly deploy AI tools using Vertex AI (Google’s platform for developers to build AI/ML tools), or experiment with the model and connect it to a different domain using Collab (Keras 3.0).
Google stated that both versions of the Gemma AI models are instruction-tuned and pre-trained, highlighting some of its features. Popular data repositories like Hugging Face, MaxText, NVIDIA NeMo, and TensorRT-LLM are integrated with it.
The language models can be used with Vertex AI and Google Kubernetes Engine (GKE) on laptops, workstations, or Google Clouds. In order to assist developers in creating safe and ethical AI tools, the tech giant has also published a new ethical Generative AI Toolkit.
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According to findings made public by Google, Gemma has surpassed Meta’s Llama-2 language model on several significant benchmarks, including BIG-Bench Hard (BBH), HumanEval, HellaSwag, and Massive Multitask Language Understanding (MMLU). Notably, according to a number of rumors, Meta has already started working on Llama-3.
