Google introduced Gemini, its latest AI technology designed to contribute to the development of humanity and improve the quality of life, on December 6, 2023. Gemini has a wide range of uses, from daily tasks to sectoral needs, with its state-of-the-art capabilities. Google Gemini has managed to exceed existing AI models in both benchmarks and practical applications.
In this article, we will discover what Google Gemini is and its capabilities!
- Gemini is the latest and most capable AI multimodal of Google.
- Gemini comes in 3 different sizes: Nano, Pro and Ultra.
- Google boosted context window capacity of Gemini 1.5 Pro to 1 million tokens, available for select users via AI Studio and Vertex AI.
- Gemini trained on web documents and books including code, visual, audio and video.
- You can access Gemini Nano and Gemini Pro from Google products.
- You can experience Gemini Pro via Google Gemini App page.
- Gemini's performance is slightly better than GPT-4.
- Gemini comes with strong reasoning, math, coding, and language understanding skills.
- Gemini supports written, visual, audio and video inputs or outputs.
What is Google Gemini?
Gemini is Google's largest and most advanced AI multimodal. Google Gemini can analyse different types of data such as text, image, code, audio, and video as input and generate it as output. Its multimodal capabilities open the door to different use cases and new opportunities.
Who Made Gemini?
Gemini was created and trained by Google and Alphabet, Google's parent company, and introduced as Google's most advanced and capable AI model. While introducing Gemini, Google stated that it was built with the collaborative efforts of Google Research, Google DeepMind and AlpaCode teams.
Three Sizes of Google Gemini
Gemini is Google's most flexible AI model. It can efficiently run from data centres to mobile devices. Google's Gemini comes in three different sizes:
- Gemini Nano: Gemini's most efficient model is designed to run on devices such as smartphones. Gemini Nano comes in two versions: 1.8B (Nano-1) and 3.25B (Nano-2). Gemini Nano is built to perform on-device tasks without external sources, providing best-in-class performance.
- Gemini Pro: It is the model designed to provide performance-optimized and cost-efficient service in a wide range of tasks. This model offers strong reasoning, performance, input understanding, math, and coding capabilities. Additionally, the Gemini Pro model powers Google Bard.
- Gemini Ultra: It is Gemini's top-tier model that can do everything the Gemini Pro model can do, plus it has advanced reasoning and multimodal skills to handle complex tasks. Gemini Ultra, which is not yet publicly available, was developed to complete highly complex tasks.
How to Access Gemini AI?
Gemini is available on Google products with its Nano and Pro sizes. Also, Google announced that they will integrate Gemini over time into Google services such as search engine, Ads, and Chrome.
You can also access the Gemini Pro model via Google Gemini app. Gemini is utilizing a specifically tuned version of Gemini Pro to perform advanced reasoning, coding, planning, understanding and more.
Google Gemini Capabilities
Google Gemini comes with three different sizes and sophisticated features. It is one of the largest, most advanced AI models to date. Google Gemini stands out due to its unique multimodal capabilities that do not require third-party applications. Let's take a closer look at the capabilities of Google Gemini.
Google Gemini Performance
Since Google Gemini is a multimodal AI, it can perform a variety of tasks with high performance. Google Gemini is a high-performance multimodal AI that understands inputs containing text, visuals, videos, audio, and codes to generate output.
According to Google's document, the Gemini Ultra model has high scores in benchmarks such as MMLU (Massive Multitask Language Understanding), GSM8K and MATH. In fact, according to these benchmarks, Google Gemini managed to outperform GPT-4.
Gemini 1.5 Pro
Gemini 1.5 Pro model normally contains a context window consisting of 128,000 tokens. However, as of today, a select group of developers and enterprise customers can test it using a context window with a capacity of up to 1 million tokens, via AI Studio and Vertex AI in a private preview.
Thanks to several machine learning advances, Google has drastically amplified the 1.5 Pro's context window limit from its original capacity of 32,000 tokens for Gemini 1.0. The updated version can now handle up to 1 million tokens during production.
All sizes of Gemini are trained on datasets from web documents and books, including code, images, audio, and video. Additionally, Gemini's smaller sizes have been trained with significantly more tokens for higher performance and accuracy. Google applied quality filters to the data used to train Gemini, which prevented it from being trained with harmful data.
Google Gemini is not limited to just text-based tasks. It can also process visual, video, and audio related data. Google Gemini managed to get high scores in multimodal benchmarks without any support from the OCR (Object Character Recognition) system. In other words, Google Gemini can understand the texts in images and generate output by analysing them without any support.
Google Gemini can understand, match, and analyse different types of input, and generate output based on the information it collects. Its capabilities are useful in various usage cases, from daily tasks to professional tasks.
Reasoning and Input Understanding
Gemini can understand complex written and visual input with its advanced reasoning capabilities. Moreover, thanks to this ability, Gemini can scan thousands of documents, collect the data the user needs and use it to generate output. You can complete your data analysis and data management tasks, which are a long process manually, in a few minutes with Gemini. Additionally, Google Gemini can analyse visual data and generate new visuals according to user prompts.
Advanced Coding: AlphaCode 2
When it comes to coding, it can be said that Gemini can complete complex coding tasks and solve complex problems thanks to its advanced math and reasoning capabilities. While Gemini can complete basic coding tasks, such as creating a simple mobile application, in less than a minute, it can complete competitive coding tasks with high accuracy.
According to Google's article, the AlphaCode 2 model, which is powered by Gemini, solved twice as many problems as its predecessor, AlphaCode. In other words, you can complete advanced coding tasks and solve difficult problems quickly with Gemini. It makes Gemini an impressive assistant with your coding, reasoning, and math tasks.
While developing Gemini, Google adhered to Google's AI Principles in order to avoid unethical usage of AI. According to Google's AI Principles, an AI model should have a socially beneficial impact and avoid creating unfair biases. Consequently, Gemini does not produce any unethical or harmful results.
TextCortex – Your Fully Customizable AI Copilot
It's apparent that although the Gemini modal is capable of a lot of things, it doesn't look like it's cut out to be a fully-personalized AI assistant that speaks your voice and knows about you. TextCortex is an AI assistant designed to assist users with everyday tasks. With TextCortex, you can generate text, paraphrase your existing tasks in different tones of voice and more.
TextCortex is available as a web application and browser extension. Its browser extension is integrated with 30,000+ websites and apps, so it can accompany you throughout your internet journey.
ZenoChat is a conversational AI developed by TextCortex that shines with its human-like conversation and advanced writing capabilities. ZenoChat comes with various features from text generation to web search. With its web search feature, ZenoChat can generate output using the latest internet data.
ZenoChat offers a fully customizable AI experience thanks to our "Individual Personas" and "Knowledge Bases" features. With our "Individual Personas" feature, you can adjust ZenoChat's output style, tone of voice, and personality as you wish. Moreover, our developer team has added 12 different personas to ZenoChat, so don't forget to try them out too.
With our "Knowledge Bases" feature, you can upload or connect the datasets that ZenoChat will use to generate output. In other words, our "Knowledge Bases" feature allows you to train your own AI chatbot. Using this feature, you can summarize your documents with a single prompt or chat with them.
Integrated with various online word processors, such as Google Docs and Pages, Zeno Assistant is designed to support you in your writing process, from outlining to grammar fixing. You can activate Zeno Assistant in any textbox using the "Alt/Opt + Enter" shortcut. Some of the Zeno Assistant's features include:
- Make Longer/Shorter
- Simplify Language
- Draft Blog Post/Essay/Outline/Social Media Post
- Fix Grammar & Spelling
- Continue Writing
Like all other features of TextCortex, Zeno Assistant can generate output in 25+ languages.
Automation with TextCortex
TextCortex offers seamless automation options thanks to its make.com and Zapier integrations. With TextCortex, you can automate various text-based tasks, from email writing to product description creation. This way, you can avoid wasting time on repetitive tasks and direct your time to more critical aspects of your business.