All About Gemini: Google's new AI Tool

As the world of technology evolves, Google Gemini AI stands at the leading edge of this change. Google CEO Sundar Pichai first announced Gemini AI at the Google I/O keynote developer convention in May 2023, the huge language model developed by using the Google DeepMind division (Brain Team + DeepMind).

Gemini; Source: Studycafe

Initial reports advise that Google may make the much-expected AI available on its Google Cloud Vertex AI platform, ushering in a new technology of advanced artificial intelligence. The tech community is eagerly waiting for the Google Gemini AI release date, as several corporations have already given a preview of what is to come. Let’s get to understand certain updates on what's in Google Gemini AI, the way it works, the different versions that will be available, how it can be better than ChatGPT, and more.

What is Google Gemini?

Gemini AI is Google’s LLM that has been designed to be more effective and successful than its predecessor. Gemini is developed for multimodality that flows seamlessly with text, photos, video, audio, and code.

The Gemini model is the first to outperform human experts on MMLU (Massive Multitask Language Understanding). Seeing that it's one of the most commonly used strategies for assessing the problem-solving and knowledge abilities of AI models speaks volumes about Gemini’s competencies.

What is Gemini?; Source: ZDNet

Gemini AI’s regions of expertise are:

  • Computer vision (item detection, scene understanding, and anomaly detection)
  • Geospatial science (multisource data fusion, planning and intelligence, and non-stop monitoring)
  • Human health (personalized healthcare, biosensor integration, and preventative medication)
  • Integrated technology (domain expertise switch, data fusion, superior decision-making, and LLMs)

Google is mainly focusing on coding as an outstanding application for Gemini with AlphaCode 2, its new code-producing system, which seemingly performs higher than 85% of the participants in a coding challenge, which is a 50 percent improvement from the first AlphaCode. According to Pichai, customers will also see improvements in practically anything Gemini interacts with.

Google’s Tensor Processing Units (TPU) trained Gemini and it is quicker and more affordable to run than Google’s preceding PaLM, making the version way more efficient. Google is also going to release TPU v5p, a more recent version of the TPU machine that has been designed specially for data centers that want to train and run large-scale models.

Gemini comes in three variations—Nano, Pro, and Ultra—developed to cater to the numerous needs of the users. Nano is meant for immediate on-device tasks, while Pro is a flexible model that serves as the middle tier. Ultra is the most effective of the three variations and will be available next year, as it's still going through safety checks.

You can try Gemini Nano on the Pixel 8 Pro. It has introduced more enhanced functions like summarization in the Recorder app and Smart Reply on Gboard, initially done in WhatsApp. The advanced text-based features of the Gemini Pro can be used for free inside Google Bard.

What are Google Gemini Ultra, Pro, and Nano?

The model of Google Gemini launched in December 2023 is simply the first generation of the version, categorized as “Gemini 1.0.”. It has been optimized for 3 different “sizes”:

Google Gemini Ultra, Pro, and Nano; Source: Hindustan Times

Google Gemini Nano

Gemini Nano is the LLM's "lite" version, available in two sizes: Nano-1 (1.8 billion parameters) and Nano-2 (3.25 billion parameters).

This version of Gemini is designed to run on mobile gadgets and can be previewed in Google’s AI Core app via Android 14 in the Pixel 8 Pro app. Though Nano is just for the Pixel 8 Pro, for now, developers can apply for a sneak peek at the technology.

Nano will have numerous functions previewed by Google during the Pixel 8 Pro unveiling in October, such as summarization within the Record app and recommended replies for messaging apps.

Google Gemini Pro

Google Gemini Pro runs on Google’s data facilities and powers such things as Google Bard, the chatbot similar to Microsoft’s Copilot tool. It will quickly roll out into different Google solutions, including Duet AI, Google Chrome, Google Ads, and Google Generative Search.

Google Gemini Pro was released on December 13th for customers to use Vertex AI (Google’s fully-controlled machine learning platform). It will also be included in Google’s Generative AI developer suite in the future.

According to Google, Gemini Pro is extra powerful at tasks like brainstorming, writing, and summarizing content material, outperforming OpenAI GPT-3.5 in six core benchmarks.

Google Gemini Ultra

Gemini Ultra is unavailable for public use for now, but it is the most successful version within the series. Like Pro, it’s trained to be natively multimodal and has been pre-trained and fine-tuned on various codebases.

Gemini Ultra can understand nuanced facts in text, code, and audio and answer questions associated with complex subjects. Ultra exceeds modern results on around 30 of the 32 widely-used benchmarks used for LLM development.

How to use Google Gemini 

Ways to use Google Gemini; Source:

How to use Google Gemini in Bard

To use Gemini Pro-integrated Bard

  • Visit the Bard’s website
  • Log in with your personal Google account
  • Once logged in, you can enjoy the superior features of Gemini Pro within the Bard chatbot by asking or saying anything to Bard.

Bard appeared more like an afterthought, and it didn’t quite fit the abilities of OpenAI’s ChatGPT. But that changed with the release of Gemini, which introduced superior reasoning and knowledge.

A very recent whitepaper indicated that the maximum capable version of Gemini outperformed GPT-4 on more than multiple-choice assessments, grade-school math, and different benchmarks. However, it mentioned the continuing struggles of AI styles failing to reap higher-level reasoning abilities.

Currently, Bard only makes use of a small portion of Gemini's capabilities. The multimodal feature that accepts and creates images, audio, and video is set to be launched in the next year with the more recent version of Bard, referred to as Bard Advanced. It will employ Gemini Ultra, the most powerful and successful variation of Gemini.

Apart from the multimodal chatbot, Gemini Ultra will also support more languages than English, which is presently the only language available for Gemini Pro.

How Does Google Gemini Work on the Pixel 8 Pro?

You can use Gemini on the Pixel 8 Pro even if you're offline. The tool supports Gemini Nano, a slimmed-down model of Gemini that could run without an internet connection. It has improved two capabilities on the Pixel 8 Pro: smart reply and recorder.

Smart Reply: In a messaging app, this feature indicates what to say next. The Gemini Nano integration facilitates generating more relevant and natural responses than before.

To use Smart Reply:

Enable AiCore in the Developer Options within the Settings. From Settings, visit Developer Options > AiCore Settings > Enable Aicore Persistent. Then, open a WhatsApp conversation.

When Smart Reply is enabled, the Gemini Nano-powered suggestions will appear in the Gboard keyboard's suggestion strip. This is currently a restrained preview for US English in WhatsApp. However, there are plans to support more apps and areas.

To use Gemini’s summarization features inside the Recorder app,

  • Open the Recorder app.
  • Start recording.
  • Tap the summary button to get a summary of the audio recording generated by Gemini Nano.

The Recorder app can generate summaries with only a click, giving a short review of the primary factors and highlights of the recording.

Google Gemini vs. OpenAI ChatGPT 

Gemini vs. ChatGPT; Source: Times Now

Here is a comparison between Google Gemini and ChatGPT in five key areas:


Key Areas

Google Gemini



There are 175 billion parameters.

Less than Google Gemini in size


Text, images, and other types of data are processed by multimodal.

Images cannot be processed because it is text-based.

Memory and Planning

Better context memory and planning abilities

Memory and planning abilities are limited.


Text generation is more efficient, faster, and requires fewer computational resources.

Text generation is less efficient, takes longer, and necessitates more computational resources.

Future Potential

Future enhancements are currently being worked on.

Developed, leaving less room for future improvements


As we advance in today's technological AI era, we now see more AI-based applications, chatbots, or tools being released. Each of these AI models claims to be superior to its competitor. The same is true for Google's upcoming Deepmind Gemini. Gemini isn't just a new AI version; it’s a glimpse into the future of AI. With its multimodal abilities and creative prowess, Gemini is set to redefine what AI can do and how it interacts with users. Whether or not it might be more effective than OpenAI’s ChatGPT is a debate in the future. 

With its bold goals and Google’s information, Gemini AI guarantees to set new benchmarks for AI competencies, transcending the boundaries of conventional styles. The AI network eagerly awaits similarly many updates on Gemini’s development, looking forward to the dawn of a new era in artificial intelligence. As the project gains momentum, it's going to continue to form the future of AI, driving innovation and establishing new possibilities across sectors. The real effect of Gemini and its capacity to surpass existing AI models will become increasingly obvious as it progresses.

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