Gemini Ultra is the very first model to exceed human specialists on MMLU (massive multitask language understanding), which tests both world knowledge and problem-solving abilities by combining 57 areas such as arithmetic, physics, history, law, medicine, and ethics.
Google Gemini, an all-new multimodal general AI model that the tech company considers its most powerful yet, is now accessible to users worldwide via Bard, various developer platforms, and even the new Google Pixel 8 Pro handsets. The new flexible AI model, accessible in three sizes — the yet-to-be-launched Ultra, Pro, and Nano — is being viewed as Google’s reaction to ChatGPT, which has been ahead of the game in terms of GenAI thus far.
What is Google Gemini?
Gemini moves us closer to the goal of “AI that feels less like a smart piece of software and more like something useful and intuitive — an expert helper or assistant,” according to Demis Hassabis, CEO and co-founder of Google DeepMind. Teams from all around Google worked together to create Gemini from the ground up. Additionally, because it is multimodal, it can understand, work with, and process text, code, audio, images, and video in addition to being limited in the types of information it can handle. On the other hand, ChatGPT does not currently support video, at least not natively.
The most capable and flexible AI model ever created:
According to Google’s blog, Gemini comes in three sizes–Ultra, Pro, and Nano–and is optimised to run on everything from data centres to cell phones. Google’s most efficient model for on-device operations is the Gemini Nano, which runs on the Pixel 8 Pro. As the first smartphone designed for Gemini Nano, it makes use of the capability of Google Tensor G3 to provide two new features: Summarise in Gboard and Smart Reply in Recorder.
Gemini Nano operating on Pixel 8 Pro has various advantages by design, including the ability to use features without a network connection and preventing sensitive data from leaving the phone.
In addition to the Gemini Nano currently running on-device, the entire family of Gemini products will unleash additional features for the Assistant with Bard experience later next year on Pixel.
Features of Gemini 1.0
- Multimodal Functionality
Gemini is built for multimodal functionality, which means it is able to comprehend and reason about a wide range of inputs, including text, graphics, and video.
Furthermore, Gemini 1.0’s powerful multimodal reasoning capabilities can assist in making sense of complex written and visual material.
- Text, pictures, audio, and other forms of media understanding
Gemini 1.0 has been trained to recognise and understand text, images, audio, and other media at the same time, allowing it to better absorb subtle information and answer queries about complex topics.
This capability allows it to explain logic in complex areas such as maths and physics.
- Coding expertise
The model is capable of comprehending, explaining, and generating high-quality code in the world’s most popular programming languages, including Python, Java, C++, and Go.
Google claims that its ability to operate across languages and reason about complex data makes it one of the world’s top foundation models for coding.
Google claims that Ultra outperforms various coding benchmarks, including HumanEval, an established industry standard for evaluating coding task performance, and Natural2Code.
- Gemini For A Range Of Uses
Gemini is already being tested by Google as part of their Search for Search Generative Experience (SGE) initiative. Google claimed to have improved quality and lowered latency by 40% in English in the US.
Furthermore, Google will release Bard Advanced next year, a new cutting-edge AI experience that offers you access to the company’s top models and capabilities. Gemini Ultra provides power.
How does it compete with ChatGPT?
Unlike Bard, Google claims that Gemini is its most adaptable model yet, capable of running on everything from data centers to mobile devices.
In its investigation, Google stated that Gemini surpassed GPT-4, the model on which ChatGPT runs. Gemini got 90% in the blog-shared research results, compared to 86.4% in the MMLU benchmark, which represents questions in 57 subjects (including STEM, humanities, and others).
Similarly, except for the HellaSwag, Math, and Code benchmarks, Gemini outperformed ChatGPT in reasoning.
Will Gemini have an impact on Google search?
Google stated that Gemini will be expanded to include more goods and services such as Search, Ads, Chrome, and Duet AI. Google stated that it is already experimenting with Gemini in Search, “where it is making Search Generative Experience (SGE) faster for users, with a 40% reduction in latency in English in the United States, alongside quality improvements.”