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Can Google Gemini surpass ChatGPT?

Google has recently introduced Gemini AI, marking a momentous stride forward in the field of artificial intelligence. Positioned as Google's cutting-edge large language model (LLM), Gemini distinguishes itself as a multimodal model made to comprehend not just text but also images, videos, and audio. This amazing AI has the capability to handle intricate tasks doing mathematics, physics, and diverse domains, showcasing a remarkable proficiency in understanding and generating high-quality code across multiple programming languages. 

The public release of Gemini, following a June teaser, signifies an AI evolution. Currently, it is seamlessly integrated with Google Bard and the Google Pixel 8, setting the stage for its expansion across various Google services.

What is Google Gemini?

On December 6, Google introduced Project Gemini, an AI model designed to mimic human behaviour. This launch is anticipated to heighten the ongoing discourse surrounding the potential benefits and risks associated with AI. 

Gemini serves as Google's cutting-edge AI architecture, succeeding PaLM 2, which currently underpins various AI services within the company, such as the Bard chatbot and Duet AI featured in Workspace applications like Google Docs. Gemini is engineered to enable these services to concurrently analyse and generate content across diverse data types, including text, images, audio, and videos.

Who created Google Gemini?

Gemini is the brainchild of Google and its parent company, Alphabet. It stands at the top of the company's AI achievements. As Google unveiled its most advanced AI model, it marked a significant leap in technological advancement. Notably, Google DeepMind played an important role in shaping Gemini, making substantial contributions to its development. The collaboration between these tech giants gave birth to an AI marvel that pushes the boundaries of innovation.

Where can I run Google Gemini?

Gemini 1.0 has three key players – Ultra, Pro, and Nano. Ultra is Google's heavy hitter, built for big-league tasks in the business world. Pro is the all-rounder, ready to tackle any job and already teamed up with Bard for some serious thinking and planning. Starting December 13, developers and businesses can tap into Pro using the Gemini API on Google AI Studio or Google Cloud Vertex AI. On the other hand, Nano is the efficiency master, inside the Pixel 8 Pro to handle quick jobs like summing up info and firing off smart replies.

How is Google Gemini different from other AI models?

Google's latest creation, Gemini, is making waves as one of the largest and most advanced AI models to date. While the verdict awaits the release of the Ultra model, Gemini already distinguishes itself from other AI heavyweights like GPT-4. Unlike its counterparts, Gemini has a native multimodal capability, setting it apart from other AI chatbots. In contrast, models like GPT-4 rely on plugins and integrations to achieve true multimodality.

Gemini surpassed GPT-4 in benchmark tests?

Gemini beat GPT-4 in benchmark tests, proving its power across various domains. The tests covered General, Reasoning, Math, and Code, examining Gemini's text-handling abilities. Additionally, benchmark tests in image, video, and audio showcased Gemini's superior performance against ChatGPT, except for the "HellaSwag" test, which is about common-sense reasoning for everyday tasks.

Gemini Ultra stole the spotlight with an impressive 90 percent score, making it the first model to surpass human experts in Massive Multitask Language Understanding (MMLU). MMLU combines 57 subjects, spanning math, physics, history, law, medicine, and ethics, testing both worldly knowledge and problem-solving skills.

While Google initially flaunted Gemini's multimodal capabilities in a video, later it was revealed that not every detail in the video was 100 percent accurate, leading to disappointment among many.

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