Artificial intelligence is rapidly evolving across various industries. Different technology companies continuously improve their AI models by introducing innovations. This not only fosters competition but also drives the expansion and advancement of the overall AI ecosystem. Additionally, it benefits developers and users by increasing AI applicability. Meanwhile, Google has introduced the “Gemma 3” model, which could change the rules of the game in the market. In this article, we will analyse its capabilities.
What is an AI Model?
An AI model is a program trained on a dataset to recognize specific patterns and operate without human intervention. Different types of models are suited for specific tasks or can be adapted for particular fields, and in complex situations, multiple models can be used simultaneously.
Simply put, AI models are trained on datasets, and developers integrate algorithms that help the program make decisions, enabling it to perform specific tasks. The more data they receive, the better they learn, allowing them to function more efficiently.
AI models can perform a variety of tasks, from generating marketing campaign reports and writing computer code to recognizing letters and numbers, data entry, and more. Some of the most popular AI models currently include “ChatGPT”, “Quillbot”, “CapCut”, and others.
What is Google’s New Model “Gemma 3”?
Google has updated its AI model lineup by introducing the open-source AI model “Gemma 3”. These models are designed for developers creating AI applications that can function across various platforms. They support more than 35 languages and can analyse text, images, and short videos. The model is built on research and technologies previously used in “Gemini 2.0” models.
It is stated that the development process was restricted by strict security protocols to ensure the open-source model remains reliable. However, the “Gemma 3” license still comes with some limitations.
The company presents these models as a significant breakthrough in the industry, claiming that they are the world’s best single-accelerator models, outperforming competitors like “Llama”, “DeepSeek”, and “OpenAI”. Google highlights that the model can run on a single graphics processing unit (GPU) or tensor processing unit (TPU).
The model is designed to run efficiently on devices ranging from smartphones and laptops to workstations. It is available in different sizes: 1B, 4B, 12B, and 27B.
Google emphasizes that the model provides developers with the following capabilities:
- Higher performance. Reduced model size and computational requirements while maintaining high accuracy.
- Complex tasks with extended context. Improved processing and understanding of information for better application performance.
- Function calling. Helps automate tasks by creating agent-based user experiences.
- Multilingual support. “Gemma 3” supports a total of 140 languages worldwide.
- Enhanced creative capabilities. Advanced tools allow for the development of applications with interactive and intelligent solutions.
Final Thoughts
By introducing its latest AI model, “Gemma 3”, Google expands the possibilities of artificial intelligence, making it even easier for developers to create AI-powered solutions. At the same time, the open-source model contributes to the overall AI ecosystem by enabling further innovation and growth. However, existing licensing restrictions may pose challenges for the model’s widespread adoption.
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