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Google Introduces Gemini - The Most Flexible and Capable AI Model

Posted By Gaurav | 08-Dec-2023 | Google Updates
Google introduced its largest, highly flexible, and most capable AI model ‘Gemini’ on December 6, 2023. The model has been optimized for a wide variety of complex tasks with its advanced multimodal capabilities. Find more about Google’s Gemini further in the article.
google-introduces-gemini-the-most-flexible-and-capable-ai-model

Google, this Wednesday, announced the launch of its largest AI Model, Gemini. As per Google’s report, Gemini has already outperformed OpenAI’s ChatGPT in most benchmark tests. Therefore, this newly introduced AI model seems to improve Google’s standing in the highly competitive AI race. It will be available for use in English in 170 countries and territories, including India.

The company’s CEO Sundar Pichai says that this era of models represents the largest science and technology efforts Google has undertaken as a company. They call it the ‘Gemini Era.’ This new AI model has the ability to solve the most challenging tasks with its multimodal understanding, expert coding skills, and advanced reasoning of complex topics. Google is also updating its existing AI model, Google Bard, with Gemini. 

What is Gemini?

Gemini is a new AI (Artificial Intelligence) model recently introduced by Google. The company calls it the ‘most capable and general model’ Google has ever built so far. The model is made by Google and its parent company Alphabet. Along with this, Google DeepMind, which was introduced earlier this year, has made significant contributions to its development.

The model excels in understanding multiple information types and combining them to solve assigned tasks with its multimodal capabilities. It can not only understand textual information but is also able to understand and extract useful information from images and videos. 

It has been described as the most capable model for solving complex problems in physics, mathematics, and other challenging areas. Also, the model can generate high-quality code in a number of different programming languages. This highly capable AI model has given a state-of-the-art performance, outperforming various existing LLMs (Large Language Models).

Different Models Under Gemini 1.0: Nano, Pro, and Ultra

Gemini 1.0, which is the first version of Google Gemini, has been optimized for different sizes so that it can run on every device from Google data centers to mobile phones. Accordingly, it can be categorized into three sub-models as listed below:

  • Gemini Nano: This is the smallest size designed for smartphones, especially for Google Pixel 8. It has been described as the most efficient model for solving on-device tasks that need AI processing. And the best part is this model can solve these tasks without connecting to external servers. For example, summarizing text or suggesting replies within a chat application.

  • Gemini Pro: This model runs on Google data centers. It has been designed to update Google’s existing AI platform, i.e. Google Bard. This model can understand complex queries and deliver faster responses. 

  • Gemini Ultra: This is what Google describes as the most capable model, which has outperformed other LLMs by exceeding state-of-the-art performance in 30 out of 32 benchmark tasks used in LLM testing. This model is designed to solve highly complex tasks. Although it is currently unavailable for widespread use, it will be released after completion of the current phase of testing.

Gemini’s Multimodal Capabilities

Multimodal prompting refers to the method of interacting with AI models in such a way that the inputs can be given in not just textual form, but in other formats like images, videos, etc, as well. An AI model with multimodal capabilities can provide predictive responses using any form of input. 

This method of multimodal prompting combines textual and image-based data to understand sequences or patterns and solve complex tasks. This feature also improves Gemini’s reasoning skills and provides it with a better understanding of pattern recognition. 

Is Gemini Better Than ChatGPT?

Google DeepMind’s CEO, Demis Hassabis, says "Gemini is our most flexible model yet — able to efficiently run on everything from data centers to mobile devices. Its state-of-the-art capabilities will significantly enhance the way developers and enterprise customers build and scale with AI.”

Looking at the multimodal capabilities of Google’s Gemini, it is clear that it excels in solving the most complex problems. But is it better than the revolutionary AI software, ChatGPT-4? We can say Yes, it seems to perform better than Open AI’s ChatGPT 4 in most of the benchmark tests.

Gemini Ultra scores 90.4% compared to 87.29% scored by GPT-4 in MMLU.  Similarly, the score of Gemini Pro is 86.5% in GSM8K compared to 57.1% scored by GPT-3.5, which is a huge difference. Even in other academic areas, Gemini has scored higher than ChatGPT and other LLMs. You can see the detailed comparison in the following table by Google:

Image Source: Google

Image Source: Google

Integration of Gemini Pro with Google Bard

Google has announced that it will be upgrading its existing AI model, Google Bard, enhancing its AI capabilities with Gemini Pro. This update has been the biggest upgrade Google Bard has ever received. Gemini Pro has been fine-tuned with the AI model to improve its understanding and responding capabilities. 

It will improve Bard’s understanding of user queries and its ability to reason, summarize data, code, etc. As of now, the integration is only available in English in 170 countries. However, the company will soon extend it to more regions (including Europe) and languages.

Final Thoughts

The advanced capability of Google’s new AI model, Gemini, opens up a world of opportunities for innovations across different industries. Although it is limited to a few Google products as of now, it will gradually be integrated with more and more Google platforms and will soon be accessible to developers via Google AI studio. 

Gemini Ultra, the most powerful version, is still undergoing trust and safety checks and will be released soon. With its advanced reasoning and multimodal capabilities, this AI model seems to take over its competitors soon. 

Being a top digital marketing agency in India, MadHawks keeps you informed of all the latest Google updates and digital marketing trends. To keep yourself informed of the latest trends, stay tuned!

FAQs

1. Is Google Bard using Gemini?

Ans. Yes, Gemini Pro has been integrated with Google Bard to improve its reasoning capabilities. With this integration, Google Bard will be able to better understand complex user queries and provide faster responses. 

2. How do I get Gemini AI?

Ans. Gemini is still being integrated across Google products and services. Its accessibility is limited as of now, but the platform will soon be accessible to developers and enterprise customers through Google AI Studio.

3. What is Gemini technology?

Ans. Google introduced Gemini recently, which is a powerful AI model having multimodal capabilities. It can not only understand textual inputs but also generate predictive responses based on image or video data.

Gaurav Yadav
SEO expert

Gaurav Yadav is a skilled SEO expert with over 8 years of experience in digital marketing. He specializes in technical SEO, content strategy, and link building, and has a proven track record of driving organic traffic growth for a diverse range of clients. With his expertise in various verticals, he can execute industry-specific SEO strategies for SAAS, BFSI, healthcare, lifestyle, and education.