Most Powerful AI by Google: Meet Gemini AI

Google Gemini AI


   

After the release of ChatGPT on the internet and the way it gained popularity among people worldwide, top tech giants also jumped into the Generative Artificial Intelligence race. At the time of writing this article, there are so many AI-based services or facilities that are available on the internet that one can use.

And tech giants like Google have also released its AI-based chatbot and named it Bard (now known as Gemini). Bard was renamed to Gemini on 8th Feb 2024. When it comes to training, Gemini is trained on a much larger and more different dataset when compared to Bard.

So, Gemini is an AI-powered chatbot, and it is developed by Google DeepMind. Google DeepMind is nothing but a British-American AI research laboratory, and it is a subsidiary company of Google. Google’s Gemini is a family of multimodal Artificial Intelligence Large Language Models(LLMs).

In simple language, multimodal AI is a kind of artificial intelligence system that can work with various data inputs. Also, data inputs can be anything like text, images, audio, and video. Coming back to Gemini AI it comes in three different versions or forms.

The versions of Gemini AI are Gemini Ultra, Gemini Pro, and Gemini Nano. We will learn about each of these in detail in a few minutes. In addition, All the Gemini versions are multimodal, which simply indicates that they can handle tasks related to texts, images, and so on.

Moreover, all the Gemini models or versions were trained and enhanced on different types of images, audio, videos, a large set of text, and codebases in various languages. Here comes the difference between Google’s Gemini models and Google’s LaMDA models. Google’s LaMDA models were trained mainly on text data and hence can perform text-related tasks only.

Three different versions of Gemini AI:

As mentioned earlier in this article, Gemini AI has three different versions. Let’s examine each version of Gemini AI in detail.

Gemini AI Versions
Image Credit: Google

Gemini Ultra:

Gemini Ultra is a much more powerful version of all three. According to Google, Gemini Ultra can perform a wide variety of tasks, such as helping your child with physics homework. Furthermore, it can detect and point out mistakes in written answers.

It can also help you identify scientific papers related to a particular problem. It is also available as an API via Vertex AI. Currently, Gemini Ultra can be accessed with a paid subscription plan named Gemini Advanced, which is priced at $20 per month.

In addition, you will also get the benefits of the Google One AI Premium plan, which includes Gemini AI in Gmail, Docs, and so on. You will also get 2 TB of storage as well as lots more benefits with Gemini Advanced.

If you want to perform highly complex tasks and require the help of AI, such as Gemini AI, you can opt for the paid subscription plan of Gemini Advanced.

Gemini Pro:

Gemini Pro is less powerful than Gemini Ultra, but one cannot underestimate its potential. It runs on Google’s Data centres. Moreover, it can understand complex queries and deliver fast response times. In the upcoming section of this article, we will learn about Gemini Nano.

Gemini Nano:

So, Gemini Nano is the smallest version among the three. As per Google, it is the most efficient version of Gemini AI created mainly for on-device tasks. So, this means that it can run directly on devices such as High-end smartphones without sending any task to an online server.

You should also note that Gemini Nano runs on high-end Android phones. Those phones include Google’s Pixel 8 Pro and Samsung’s Galaxy S24 series. Moreover, this version of Gemini powers features like summarizing audio recordings as text on those devices.

Along with that, it also powers the Magic Compose feature, which creates replies to text messages automatically for you. It is also important for us to know about use cases for Gemini AI. Interested to know? Jump to the next section.

Applications for Gemini AI:

There are several possible uses for Gemini AI. Let’s examine each use one by one.

Text summarization: The text summarization feature is one of the useful features of Gemini AI. This AI is capable of summarizing content from different data types.

Text generation: Gemini AI can help you generate texts as per the requirements mentioned in the prompts.

Text translation: All versions of Gemini support more than 100 languages. This is the reason why they can easily understand various languages. In addition to that, this makes them capable of language translations.

Understanding of image: The major benefit of using Gemini AI is that it can understand complex images. These complex images can be anything like charts, diagrams, and figures. This feature of Gemini can be used for different purposes, one of which is to caption images.

Processing of audio: Gemini supports speech recognition features in more than 100 languages. It can also handle audio translation tasks.

Understanding of video: This AI can understand video clips and generate descriptions based on them. It can also answer questions based on video clips.

Enhanced reasoning capabilities: The main advantage of using Gemini AI is its multimodal AI reasoning capabilities. Because of this reason, it can accept various data forms as prompts to generate desired output.

Analysis and generation of code: Gemini AI can understand, explain, as well as generate code in various programming languages, such as Java, Python, and C++, to name a few. I have used the free version of Gemini to generate code snippets, and it does pretty well. Just make sure your prompt is accurate and well-written.

Wrapping Up:

We have seen several points related to Gemini AI, and I think it is giving tough competition to other AI-based technologies. What do you like about this AI? Let me know in the comments below. Also, share your experiences with Gemini AI. Thanks for reading to this end. I will soon come up with new blog posts. Also, please share this article with your friends and family and keep visiting Novadroid360.

Featured Image Credit: Google

He is a passionate Tech Enthusiast who loves to read and write about fascinating technologies. Before becoming a tech blogger he was an IT Trainer in an institute. He loves to play PC games in free time and his all time favourite PC game is GTA V. And sometimes he spends time in nature when free. Instagram

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