What is Gemini? Everything you should know about Google's new AI model

What is Google Gemini?

Google Gemini is the latest large language model (LLM) developed by Google AI's DeepMind and boasts advanced multimodal processing capabilities. It's equipped to understand, manipulate, and merge various data types, including text, code, audio, images, and videos.

This powerful AI is available in three versions—Ultra, Pro, and Nano—each designed to handle specific task complexities. Gemini has excelled in benchmarks, surpassing existing standards in the field. What distinguishes it is its adaptability across devices and its adherence to ethical AI principles, undergoing extensive safety and bias testing. Google aims to integrate Gemini into its products, accessible through Google AI Studio and Google Cloud Vertex AI. Notably, the Gemini Pro version is freely available and ideal for a wide range of tasks.

How to use Google Gemini?

Using Google #Gemini varies based on the version and integrated product. For example, with Google Bard, users input a prompt and receive responses spanning weather forecasts, poetry creation, or coding assistance, while maintaining safeguards against harmful content.

For Pixel 8 Pro users, Gemini Nano integrates into Gboard, providing suggested replies in messaging apps like WhatsApp. Additionally, in the Recorder app, Nano can summarize recorded conversations offline.

Details on how Gemini Ultra operates are still pending, but it appears tailored for intricate tasks, potentially targeting researchers and industry users. Its integration into Google's chatbot as Bard Advanced is anticipated, promising expanded exploration possibilities upon release.

Google Gemini vs GPT 4 the difference?

Google Gemini shines with its exceptional multimodal processing capabilities, adept at handling text, code, audio, images, and videos. Its strength lies in integrating and manipulating diverse data types, enabling versatile interactions across multiple modalities. On the other hand, GPT models like GPT-3 and potentially GPT-4 excel in natural language tasks but might lack Gemini's comprehensive abilities to handle various data forms beyond text. Gemini's prowess in multimodal inputs sets it apart, enabling it to tackle tasks involving diverse data types, while GPT models primarily focus on text-based tasks.

Google showed results from eight text-based benchmarks, with Gemini winning in seven of those tests. Across 10 multimodal benchmarks, Gemini came out on top in everyone, according to Google at least.

That would seem to imply that Gemini is the superior system, but it’s not quite so straightforward. GPT-4 came out in March 2023, so Gemini is essentially catching up to a nine-month-old AI tool. We don’t know how capable OpenAI’s next version of GPT will be, so it’s hard to say which is truly the better tool at the moment.

As well as that, Google only put Gemini Ultra up against GPT-4. That means we don’t know how well Gemini Pro and Nano can compete with GPT-4 right now, but given the often-slim margins between GPT-4 and Gemini Ultra, OpenAI’s model probably comes out ahead of Gemini Pro and Nano.

Conclusion

In a world where AI powers our interactions, Google Gemini emerges as a versatile multitasker, mastering various data types with its multimodal mastery. While it takes the lead in many benchmarks, the race against GPT-4 remains a tight contest, leaving the ultimate winner yet to be determined. As both systems evolve, the quest for superiority continues, promising an exciting future for AI advancements.

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