Google Gemini: A Comprehensive Overview of the Next-Gen Generative AI Models

Google has introduced Gemini, its latest suite of generative AI models, applications, and services aimed at reshaping how we interact with technology. But what exactly is Gemini? How can it be utilized? And how does it compare to other well-known generative AI tools like OpenAI's ChatGPT, Meta's Llama, and Microsoft's Copilot?

This article serves as an inclusive guide to understanding Gemini, which will be continuously updated as new models, features, and developments unfold.

What is Gemini?

Gemini is a family of next-generation generative AI models developed by Google’s AI research teams at DeepMind and Google Research. The models come in four distinct versions:

• Gemini Ultra
• Gemini Pro
• Gemini Flash - a compact and faster variant of Pro, which also includes a smaller version called Gemini Flash-8B.
• Gemini Nano - includes two models: Nano-1 and the more capable Nano-2, designed for offline use.

All Gemini models are designed to be multimodal, meaning they can analyze not just text but also audio, images, and video. Google mentions that these models have been trained on a mix of publicly available, proprietary, and licensed data across multiple languages.

Unlike Google’s earlier model LaMDA, which was restricted to text-only data, Gemini models can understand and generate more diverse forms of content.

One critical aspect to consider is the legal and ethical implications of training models using publicly sourced data, sometimes without the consent of data owners. Google provides an AI indemnification policy for certain customers, but it’s important to be cautious, especially when using Gemini for commercial purposes.

Difference Between Gemini Apps and Gemini Models

It's essential to clarify that Gemini refers not only to the models but also to the corresponding apps, which were previously known as Bard. The apps serve as interfaces that connect users to the various Gemini models and enhance interaction through a chatbot-like experience.

Gemini apps are available on both web and mobile platforms. On Android devices, Gemini has replaced the Google Assistant app, while iOS users access Gemini through the Google or Google Search apps.

Recently, Android users can also enable Gemini features to interact with applications directly. For instance, they can ask questions about content displayed on the screen, such as questions about a YouTube video they are watching.

These apps accept inputs in various forms, including images and voice commands, and can interact with files like PDFs. They are designed to provide continuity in conversations across devices if users are logged into the same Google account.

Gemini Advanced

In addition to the main Gemini apps, Gemini's advanced features are being integrated into popular Google applications such as Gmail and Google Docs.

To access these advanced features, users will require the Google One AI Premium Plan, which costs $20 per month. This plan allows access to Gemini in Google Workspace applications and introduces users to what Google refers to as Gemini Advanced.

Gemini Advanced offers various perks, such as priority access to new features, the ability to run and edit Python code, and support for much larger documents during conversation—up to 750,000 words compared to the standard 24,000 words manageable by regular Gemini apps.

This advanced variant also features a Deep Research option that generates research briefs based on user prompts by searching the web for relevant information.

Additionally, users can leverage Gemini Advanced to create personalized travel plans, taking into consideration factors such as flight details, food preferences, and sightseeing options.

Extensions and Customization

At the Google I/O 2024 event, Gemini Advanced users were introduced to a feature called Gems—custom chatbots that can be created with natural language descriptions. Gems can be customized for various tasks and can integrate with Google Calendar, Tasks, and other services.

The Gemini apps now also include what Google's calling “Gemini extensions,” enabling functions such as summarizing emails or managing tasks across different Google applications.

Voice Interaction and Image Generation

A unique experience called Gemini Live allows users to engage in in-depth voice chats with the AI via mobile devices and Google’s Pixel Buds Pro 2. This feature enables real-time clarification during conversations.

For artwork generation, users have access to Google's Imagen 3 model, which can produce images based on text prompts. Although this feature faced limitations previously, it has returned with improved capabilities for certain user groups.

Availability for Teens and Smart Devices

In an effort to make Gemini accessible for educational purposes, a version tailored for teens was launched, focusing on responsible AI usage. This version is closely similar to the standard offering but comes with additional safeguards.

Gemini’s features are also being incorporated into a range of smart home devices, enhancing functionalities like content curation on Google TV and improving interaction for devices such as the Nest Learning Thermostat.

Cost of Using Gemini Models

Gemini models are available through Google’s Gemini API and offer both free and paid options, with fees based on usage. As of now, the pricing structure varies by model, with specifics for Gemini 1.0 Pro and 1.5 Pro outlined in detail. Costs include charges per million input and output tokens, a form of data measurement used in processing.

Future Developments

Google’s Project Astra focuses on creating multimodal AI apps capable of processing live video and audio, although its full deployment timeline is unclear.

There are also discussions around bringing Gemini to Apple devices, indicating potential collaborations for future features in Apple products.

This overview has been designed to provide a clear understanding of Google’s Gemini and its expansive capabilities. As further updates come out, this guide will be continuously updated.

AI, Gemini, Technology