On December 6, 2023, Google announced a new AI model, Gemini, which has been attracting a lot of attention, and many people want to know how Gemini differs from other AI models.
This article explains the main features and usage of Gemini, which is said to boast top-level performance. We hope you will understand what advantages Gemini has to offer, and use Gemini in your business.
What is Gemini?
Gemini is the latest AI model from Google. It features a “multimodal model” that responds to different types of information and can instantly understand, combine, and reason and process many types of information, including text, voice, images, and video. It can also perform high-quality coding using a variety of programming languages.
Gemini is built as a multimodal model from the beginning, so there is no need for plug-ins or integration, which is a major difference from existing AI chatbots such as GPT-4. Gemini is expected to be able to handle complex tasks that AI has not been able to handle in the past.
Gemini is available on the Google Bard and the Google Pixel 8 Pro Android devices, and will be integrated into other Google services in the future, making it even easier to use.
Official Gemini website: https://gemini.google.com/
Types of Gemini
Gemini is available in three different versions for proper use with different devices. They range from models that focus on power savings, such as smartphones, to large computer resources.
- Gemini Ultra: the highest-performance and largest model for very complex tasks
- Gemini Pro: the best model for a wide range of tasks
- Gemini Nano: the most efficient model for tasks on the device
Gemini Ultra
Gemini Ultra is the most advanced model scheduled for release in 2024. Details have not yet been released, but it is a high-performance model designed for extremely complex tasks and is said to outperform the GPT-4.
Google says it exceeds state-of-the-art results on 32 benchmarks used in the research and development of large-scale language models.Ultra is capable of mixed text, speech, image, and video input, and is said to be capable of generating images and text.
The timing of its availability is not clear, but it is expected to be released as soon as the testing phase is complete.
Gemini Pro
Gemini Pro is a model that runs in Google’s data centers and can be used with the latest version of Google’s AI chatbot, “Bard”. It is the best mid-size model that balances strong performance with cost and latency (delay time).
Gemini Pro is also available via Google AI Studio for developers and enterprises or via Vertex AI’s Gemini API, which is expected to become mainstream in the future. The Gemini Pro API offers two plans: a free plan with up to 60 queries per minute and a pay-as-you-go plan.
However, Gemini Pro does not support mixed image and video input or output other than text data.
Gemini Nano
The Gemini Nano is the most efficient model for use on smartphones and tablets; it is readily available on Google’s high-end Android smartphone, the Google Pixel 8 Pro.
The Gemini Nano can record audio and transcribe it in real time and is equipped with a summary function. It can combine text with information from images and videos to create the textual information users require.
It is designed and built to perform tasks efficiently and smoothly without the need to connect an external server. Two types are provided, Nano-1 (1.8 billion parameters) and Nano-2 (3.25 billion parameters), which can be used according to the device’s memory.
Four Features in Gemini
Gemini is a high-performance generative AI, but here are some of its key features.
Performing at the Cutting Edge
Gemini performs well on the world’s most widely used major benchmarks, including mathematical reasoning and video comprehension. In particular, Gemini Ultra’s performance exceeds current best-in-class results on 30 of 32 major benchmarks in a variety of tasks spanning text, speech, vision, coding, and more.
It outperformed experts in fields such as math and law, and proved to be highly capable of performing well on non-textual information. It is said to be the first model to show performance exceeding human experts and is highly anticipated for release.
Understanding text, images, audio and more
Gemini is a multimodal model, meaning it is trained to understand text, images, and audio simultaneously. Gemini is able to recognize multiple types of information as is, without converting it to text, allowing it to understand nuanced content and accurately answer questions on complex topics.
Gemini is revolutionary in its ability to handle multimodal tasks without the need for plug-ins or integration like other AI. It is also particularly powerful for explaining inferences related to physics and numbers.
Since a single model can handle complex tasks, it is also expected to reduce the cost of implementing and managing AI models.
Sophisticated reasoning
Gemini has advanced inferential capabilities to collect, analyze, and respond to information from different types of data, including images and videos, as well as text.
By reading, filtering, and then understanding information, it can extract insights from hundreds of thousands of documents. In addition, official Google videos have shown that it can recognize presented objects and environmental changes, reason about them, and respond appropriately.
Gemini’s superior inference performance is expected to power many fields, including science and finance, that require deliberate inference.
Advanced coding
Gemini can understand, explain, and generate code in the world’s most used programming languages, including Python, Java, C++, and Go. It is able to transcend multiple languages, gather information, and reason from this complex information, resulting in high-quality, advanced coding. Gemini Ultra, in particular, has achieved superior results in multiple coding benchmarks.
Gemini can also be used as an engine for more advanced coding systems: Alpha Code2, a code generation system that uses a special version of Gemini, is said to provide superior performance in solving competition programming problems and is expected to expand the scope of development It is expected to be a great help in the development process.
How to use Gemini?
There are five ways to use Gemini. In the future, this service will be expanded to be available for Google’s major products and services.
Bard
Of the three versions of Gemini, “Gemini Pro” is included in Google Bard, which is available in English in over 170 countries and regions. Gemini Pro is also available free of charge to individual users when used with Bard.
To use the software, please visit the official website and log in with your Google account. In 2024, Gemini ultra will also be available in Bard Advanced, an upgraded version of Bard.
Google Pixel 8 Pro
Gemini Nano, the smartphone version of Gemini, is available on Google’s Android device, the Google Pixel 8 Pro, and runs natively and offline.
Features available on the Google Pixel 8 Pro include automatic summarization using the Recorder app and smart reply functionality in the Gboard keyboard. 2024 will see support for more messaging apps.
Vertex AI
Developers and businesses can access Gemini Pro via Google AI Studio or Vertex AI’s Gemini API.
When using the Gemini API, there are two versions to choose from: Gemini Pro and Gemini Pro Vision, with Gemini Pro allowing natural language tasks, code chat, multi-turn text, and code generation, and Gemini Pro Vision adding multi-modal prompts. In addition, Gemini Pro Vision supports multimodal prompts.
AICore
Android developers can also develop and use Gemini Nano, the most efficient model for on-device tasks, via AICore. AICore is a system feature newly added to Android 14 since Google Pixel 8 Pro.
Utilizing the Gboard Nano and AICore allows for accurate smart reply capabilities; AICore allows the Android OS to provide and manage AI infrastructure models, reducing the cost of using large models.
Google’s key products and services
Over the next few months, Gemini will be made available for use in Google’s major products and services, including Google search, advertising, chrome, and Duet AI. Specific usage and service details have not yet been announced, but it is expected that fast, high-performance features and new services will be offered that take advantage of Gemini’s capabilities.
Gemini in Search, which is already in pilot operation, has been shown to speed up search generation, reduce latency, and improve quality.
Experience the latest generative AI model with Gemini
Gemini, Google’s newest AI model, is a high-performance generative AI that is expected to be utilized more than ever as a multimodal model, and since a single Gemini can handle multimodal tasks, the cost of implementation can be reduced. Gemini will be deployed in Google’s major services in the future, which will expand the scope of its use.
AI is an item that can help improve efficiency and productivity in a variety of situations, including business and research. AI and AI-equipped tools can be used to improve efficiency and productivity in your work.
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