All you Need to Know About the Gemini App in 2024

With the Gemini app, a flagship collection of generative AI models, applications, and services, Google is attempting to make an entry into the generative AI space.

 But as our initial evaluation found, while Gemini seems promising in many areas, it falls short in others. What then is Gemini? What applications does it have? And how does it compare with the other options?

We’ve created this helpful guide, which we’ll update when new Gemini models and features are launched, to make it simpler to stay up to date with the most recent Gemini innovations.

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What is Gemini?

Google’s DeepMind and Google Research AI research labs have been working on Gemini, the company’s much-anticipated next-generation GenAI model family. 

The are three models of the Gemini app available:

-The flagship model of Gemini is the Gemini Ultra.

-a “lite” version of the Gemini, called Gemini Pro.

-The smaller, “distilled” Gemini Nano model is compatible with smartphones such as the Pixel 8 Pro.

The training process for all Gemini models involved making them “natively multimodal,” or capable of using and manipulating input other than words.

 A wide range of audio, picture, and video files, as well as text in several languages, were used for pretrained and fine-tuning.

This distinguishes Gemini from other models like Google’s LaMDA, which was trained only on textual input. Unlike Gemini models, LaMDA is limited to producing and understanding text (such as email drafts and essays).

What’s the Difference Between the Gemini App and Gemini Models?

Google failed to clarify from the beginning that Gemini is different from the Gemini app on the web and mobile (previously Bard), demonstrating once more that it lacks a sense of branding. 

Consider the Gemini app as a kind of client for Google’s GenAI; they are only an interface that allows specific Gemini models to be accessed.

Interestingly, Google’s text-to-image model Imagen 2, which is accessible in certain of the company’s development environments and tools, is completely unrelated to the Gemini app and models. Rest assured that you are not alone in being perplexed by this.

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What can Gemini do?

Theoretically, the multimodal Gemini app model can be used for a variety of multimodal activities, such as creating artwork, labeling photos and videos, and transcribing speech. 

Although not all of these features have made it to market yet (more on that later), Google promises to include them all and more at some time in the not-too-distant future.

Naturally, it’s a little difficult to believe what the corporation says.

When Google first launched Bard, they drastically underperformed. More recently, it caused controversy when a video that seemed to demonstrate Gemini’s skills was later found to have been significantly Photoshop and to be essentially aspirational.

However, if Google is telling the truth, the following are the things that the various Gemini app will be able to accomplish when they reach their maximum potential:

1. Gemini Ultra

According to Google, Gemini Ultra is one of the various Gemini app that makes it possible to do tasks like physics homework, worksheet problems that need to be solved step-by-step, and identifying potential errors in answers that have already been completed.

Gemini Ultra can also be used for other activities, such finding scientific publications that are pertinent to a certain issue, according to Google. 

It can also be used to extract data from those papers and “update” charts by creating the formulas required to recreate them using more recent data.

As previously mentioned, Gemini Ultra is technically capable of producing images. However, the productized version of the concept does not yet have such capability – possibly because the technique is more complicated than how apps like ChatGPT generate photos. 

Gemini produces images “natively,” bypassing the need for an intermediary step, as opposed to feeding commands to an image generator (such as DALL-E 3, in ChatGPT’s example).

Vertex AI, Google’s fully managed AI development platform, and AI Studio, Google’s web-based tool for app and platform developers, both offer Gemini Ultra as an API. 

The Gemini app are also powered by it, although not at no cost. It is necessary to subscribe to the $20 monthly Google One AI Premium Plan in order to access Gemini Ultra through what Google refers to as Gemini Advanced.

Additionally, the AI Premium Plan links Gemini to the rest of your Google Workspace account, including Google Meet recordings, papers in Docs, presentations in Sheets, and emails in Gmail. 

That would be helpful, for example, if you wanted to summarize emails or have Gemini take notes during a video conversation.

2. Gemini Pro

Google claims that in terms of logic, planning, and understanding, Gemini Pro outperforms LaMDA.

Longer and more complicated reasoning chains are actually easier for Gemini Pro to handle than for OpenAI’s GPT-3.5, according to an independent study by Carnegie Mellon and BerriAI researchers. 

The study did discover, however, that Gemini Pro, like any large language models, has trouble with multi-digit math issues in particular, and users have discovered a tonne of instances of incorrect reasoning and errors.

However, Google has promised updates, the first of which is Gemini 1.5 Pro.

Gemini 1.5 Pro, which is now in preview, is intended to be a drop-in replacement. It has several improvements over its predecessor, the most notable of which is probably the volume of data it can handle. 

In a restricted private preview, Gemini 1.5 Pro can process around 700,000 words or 30,000 lines of code, which is 35 times more than what Gemini 1.0 Pro can manage. 

Furthermore, it isn’t restricted to text because the model is multimodal. 

Even while Gemini 1.5 Pro analyses data slowly—for example, it can take up to a minute to find a scene in an hour-long film—it can process up to 11 hours of audio or one hour of video in a number of different languages.

Gemini Pro can also be accessed using Vertex AI’s API to take text input and produce text output. 

Gemini Pro Vision is an extra endpoint that can process text and imagery, including images and videos, and produce text that is similar to OpenAI’s GPT-4 with Vision model.

3. Gemini Nano

A considerably more compact variant of the Gemini Pro and Ultra editions, the Gemini Nano is capable of running tasks directly on (certain) phones, eliminating the need to transfer them to a server. 

Thus far, it drives two functions on the Pixel 8 Pro: Gboard’s Smart Reply and Recorder’s Summarise.

You may record and transcribe audio using the Recorder app by simply pressing a button. Gemini is used to summarize recorded conversations, interviews, presentations, and other briefs.

 Even without a signal or Wi-Fi connection, users may still access these summaries, and in keeping with privacy, no data is sent from their phone during this procedure.

Additionally, Gemini Nano is available as a developer preview on Gboard, Google’s keyboard software. 

There, it drives a function known as Smart Reply, which assists in recommending what to say next during a messaging app conversation. 

As of right now, Google claims that the feature is limited to WhatsApp and will expand to additional apps by 2024.

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Is Gemini better than OpenAI’s GPT-4?

Google has repeatedly bragged about Gemini app performance on benchmarks, saying that on “30 of the 32 widely used academic benchmarks used in large language model research and development, Gemini Ultra achieves state-of-the-art results. 

According to the business, GPT-3.5 is not as good at things like writing, brainstorming, and content summarization as Gemini Pro is.

Nevertheless, the results Google points to seem to be just slightly better than OpenAI’s similar models, putting aside the question of whether benchmarks actually imply a superior model. 

Furthermore, as was already said, not all early impressions have been positive. Users and scholars have noted that Gemini Pro frequently provides inaccurate coding suggestions, problems with translations, and mistakes simple facts.

How much will Gemini cost?

For the time being, Gemini app such as AI Studio and Vertex AI as well as other Gemini app  are free to use with Gemini Pro.

However, the model will cost $0.0025 per character after Gemini Pro exits preview in Vertex, but the output will cost $0.00005 each character. 

Customers of Vertex pay for 1,000 characters, or roughly 140–250 words, and, for certain versions like the Gemini Pro Vision, for each image ($0.0025).

Assume an article with 500 words has 2,000 characters. It would cost $5 to use Gemini Pro to summarize that article. On the other hand, producing an article with the same length would cost $0.1.

The price of Ultra has not yet been revealed.

Where Can you Try Gemini?

1. Gemini Pro & Ultra

The Gemini app offer the most convenient way to use Gemini Pro. Pro and Ultra are providing multilingual answers to questions. Through an API, Gemini Pro and Ultra can also be accessed in preview in Vertex AI. 

For the time being, the API is free to use “within limits” and supports a number of areas, including Europe. It also has features like filtering and chat functionality.

Gemini Pro and Ultra are located elsewhere in AI Studio. Developers can export the code to a more feature-rich IDE or iterate prompts and Gemini-based chatbots using the service. 

After that, they can obtain API credentials to use the bots in their apps.

Gemini models are currently being used by Duet AI for Developers, Google’s suite of AI-powered tools for code production and completion aid. 

Additionally, Google added Gemini models to its Chrome and Firebase mobile dev platforms’ development tools.

Read also – OpenAI Launches Sora, an AI tool that Creates 1-minute Videos

2. Gemini Nano

In the future, Gemini Nano will be available on additional devices in addition to the Pixel 8 Pro. 

Developers can register for a sneak peek if they would like to use the model in their Android apps.

Opening a Gemini Account

New users must choose a password, give their name, and email address to create an account with Gemini. 

The new user then inputs their phone number after entering this data. They now receive a verification code through text.

The member’s phone number is automatically entered, and then two-factor authentication is set up. The new member then needs to provide their social security number, home address, and birthdate.

The customer is prepared to begin purchasing cryptocurrency as soon as Gemini verifies all of this information. Extra verification is necessary while transferring cryptocurrency.

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Gemini’s Disadvantages

The fee structure of Gemini might be too much of a drawback for novice cryptocurrency users.

If you execute a trade using the most common technique, a “web order,” you may wind up paying costs as high as 1.49%.

Also, there can be additional costs. Increase your trade by an additional 3.49% if you use a debit card. Gemini may have an easy-to-use UI, but the complicated fees are undoubtedly a drawback.

FAQs

Conclusion

 In 2024, the Gemini App stands as a cutting-edge financial tool, seamlessly integrated with Google Assistant. The compatibility ensures a user-friendly experience, allowing voice-activated transactions with robust security measures. 

Anticipated updates promise enhanced functionality, reflecting Gemini’s commitment to continuous improvement. The app’s unique features optimize synergy with Google Assistant, offering efficient and convenient financial management. 

This integration marks a significant step towards a technologically advanced, secure, and accessible platform, reaffirming Gemini’s position at the forefront of innovative financial solutions in the digital landscape.