Farzana
3 min readDec 12, 2023

Gemini: The Cutting-Edge AI Model That’s Changing the World

Gemini has been the hottest topic of conversation in recent days, sparking intrigue and capturing everyone’s attention.

Gemini is the name of a large language model developed by Google AI. marking a milestone in the realm of artificial intelligence, this achievement stands as a remarkable stride forward.

Ai Gemini Google’s largest and most capable Ai that can process image, video, text, audio and code. It confidently declares its ability to surpass leading AI chatbots like Chat GPT and Microsoft’s Bing Chat in the world of online interactions.

GEMINI is Multimodal.

What makes Gemini really stand out is the multimodality.

The Gemini way of handling different types of tasks is everything you’d want from an AI system. these capabilities that haven’t really existed in computer before.

Unlike other AI models that can only understand text, Gemini can understand and respond to information from different sources like pictures, sounds, even code and it gives you the best possible response.

Gemini can understand the world around us in the way that we do.

VERSION OF GEMINI:

GEMINI is more scalable model than previous model.

Google has built three version of Gemini with three different set of skills .it optimize by 3 sizes,

-ULTRA

-PRO

-NANO

GEMINI PRO is used in BARD is also a large language model (LLM) developed by Google AI. By utilizing Gemini Pro, Bard is able to offer an enhanced user experience that combines the power of AI with the naturalness and flexibility of human communication.

GEMINI which is designed to be safer and more inclusive for everyone with more comprehensive safety.

Let’s have a chat with Bard AI (version of Gemini Pro) and ask it some questions about Gemini.

Here’s a breakdown of Gemini’s real-time capabilities:

1. Text-based tasks (question answering, chat)

- Gemini Pro and Nano: Usually provide real-time responses (within seconds).

- Gemini Ultra: Slightly longer processing time for complex queries but aims for fast responses.

2. Multimodal tasks (image recognition, audio processing, code generation):

- Real-time response varies based on task complexity and model version.

- Gemini Ultra: Designed for real-time performance, but processing may take milliseconds or seconds.

- Gemini Pro and Nano: Not ideal for highly demanding real-time multimodal tasks.

Does Gemini truly generate high-quality code in popular programming languages?

Demerits of Gemini:

In conclusion, Gemini’s potential is vast, but it’s not without its risks. By navigating its development and implementation with awareness and responsibility, we can ensure that it becomes a tool for positive change, driving progress and innovation while fostering a more equitable and inclusive future.

Farzana
Farzana

Written by Farzana

B.Tech Artificial Intelligence and Data Science Student | AI Enthusiast | Aspiring Entrepreneur . let's dive into the AI revolution together

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