Amongst many AI models released this year, Google is arguably leading the charge with its powerful Gemini AI model. By now, most people have heard of Gemini. But do you know how it works and what makes it unique? In this week’s MSP Explained, we’ll break this down for you. We’ll explore everything about Gemini, from how it functions to how it compares with other AI models. Let’s dive in!
What is Google Gemini and How Does it Work?
Gemini is a large language model (LLM) developed by Google AI. It is designed to understand and generate human language in a more sophisticated way than previous models. Gemini is trained on a massive dataset of text and code, allowing it to perform a wide range of tasks, from writing essays to translating languages.
At its core, Gemini works by processing text input and generating a corresponding output. It uses a complex neural network architecture to understand the context, meaning, and nuances of the text input. This enables it to provide informative, comprehensive, and relevant responses.
Some Popular Gemini Features on Smartphones
Gemini introduces a range of cool features, aimed at improving the smartphone experience, especially with the Google Pixel 9 series. Here’s a breakdown of some of its standout capabilities:
- Gemini Live: Allows for hands-free, natural conversations with the AI assistant, even when the phone is locked.
- Add Me: Insert yourself into group photos without needing a tripod.
- Magic Editor: Edit photos by typing your desired changes, like adding flowers to an image.
- Video Boost: Accelerates Night Sight video processing and supports high-res zoom.
- Ask about this screen: It lets you ask questions about the content you’re viewing without switching screens.
- Pixel Studio: Merges on-device and cloud AI for quick design and image editing.
- Call Notes: Provides a private summary and full transcript of phone calls for easy note-taking.
- AI Weather Reports: Offers detailed weather insights like humidity and wind speed.
- Integration with Google Apps: Seamlessly links Gemini with apps like Gmail to retrieve recipes or create shopping lists.
- Custom AI Experts (Gems): Users can design personal AI assistants for tasks like fitness coaching or study planning.
- Improved Audio Quality: Features like Clear Calling enhance call clarity and sound quality.
If you’re interested in exploring more about Gemini’s capabilities on the Pixel 9 and how it performs in the real world, check out our review here.
Google Gemini Use Cases
Gemini’s capabilities are fairly impressive, and we know that use cases can vary from person to person. Still, here we have tried to list down some of the more popular use cases of Google’s powerful AI technology:
- Conversational Assistance: Provides easy-to-understand answers to complex questions, ideal for learning and inquiries.
- Multimodal Interactions: Supports input via text, images, audio, and video for identifying objects and exploring details.
- Email Management: Reads and summarises emails, allowing users to manage their inbox more efficiently.
- Coding Assistance: Helps with coding tasks like translating code, solving challenges, and debugging, which is useful for all skill levels.
- Product Identification: Identifies products through images, providing details like ingredients or nutritional information.
- Content Summarisation: Quickly summarises long articles or documents, offering concise insights for students and professionals.
- Real-Time Translation: Provides instant translation across multiple languages, which is useful for travellers or multilingual interactions.
- Custom AI Experts (Gems): Allows you to design personalised AI assistants for tasks like fitness coaching or study support.
- Visual Data Analysis: Analyses and visualises data from documents and spreadsheets, making data processing easier for professionals.
- Interactive Learning: Engages users with content through features like “Ask about this screen” for enhanced learning experiences.
Different Gemini Models
There are a few models Google has released like Gemini Pro, Gemini Nano, and more. Here are the details:
| Model | Core Capabilities | Strengths | Limitations |
| Gemini Ultra | Most advanced model, capable of complex tasks like writing code, translating languages, and creating different kinds of creative content. | Exceptional performance across a wide range of tasks. |
Requires significant computational resources.
|
| Gemini Advanced | A powerful model that can handle tasks, including writing essays, summarizing articles, and providing informative answers to questions. | Strong performance on a wide range of tasks. |
May struggle with more complex or nuanced prompts.
|
| Gemini Standard | A versatile model, suitable for general-purpose tasks such as writing emails, translating languages, and providing basic information. | Good performance on common tasks. |
May not be as capable as the advanced models for more complex applications.
|
| Gemini Nano | A smaller, more efficient model designed for use on mobile devices and other resource-constrained environments. | Compact size and low computational requirements. |
May have limitations in terms of its capabilities compared to larger models.
|
| Gemini Pro | (Not publicly released yet) Expected to be a high-performance model with capabilities similar to Gemini Advanced. | Potentially superior performance on certain tasks. |
Specific details and capabilities are not yet known.
|
What Languages Does Gemini Support in India?
Here’s the complete list of all the languages that Gemini supports at the moment in India:
- Bengali
- Gujarati
- Kannada
- Malayalam
- Marathi
- Tamil
- Telugu
- Urdu
Gemini Vs Copilot Vs ChatGPT
| Feature/Aspect | Google Gemini | Microsoft Copilot |
ChatGPT (by OpenAI)
|
| Primary Use Case | Integrated AI in Google services (search, Workspace) | Integrated AI in Microsoft Office apps (Word, Excel) |
General-purpose conversational AI
|
| Platform Integration | Google Search, Workspace (Docs, Sheets, etc.) | Microsoft Office Suite (Word, Excel, PowerPoint, etc.) |
Standalone; used in various platforms and applications
|
| AI Capabilities | Search enhancements, document creation, multimodal input processing | Contextual assistance, automation in Office apps, coding assistance |
Conversational, code generation, writing assistance
|
| Strengths | Multimodal abilities, advanced reasoning, strong problem-solving algorithms | Deep integration with Microsoft ecosystem, exceptional code generation |
Remarkable conversational capabilities and creative outputs
|
| Performance | Impressive speed in complex reasoning tasks; handles up to 2 million tokens | Quick suggestions and real-time assistance; supports 128,000 tokens |
Generally quick responses; performance can vary based on server load
|
| Multimodal Capabilities | Yes (text, images, audio) | Limited to text and context within Office apps |
Primarily text-based interactions
|
Conclusion
So that’s a wrap for Google Gemini. Interestingly, it has become so popular that people have started to use the term “Gemini” more often than “Google.” And for all the right reasons, as it is more than just a language model; it’s a versatile AI tool that has the potential to revolutionise how we interact with the internet or technology as a whole. From business, education, and creativity to customer service, Gemini offers a wide range of applications.
As it grows and improves, we can expect even more innovative and exciting uses for this powerful AI. So, get ready to embrace the future of AI with Gemini.
