What will the Google Gemini artificial intelligence tool change?

Date:

Artificial intelligence systems that can access multiple data types or information sources simultaneously and interact between these different data types are defined as multimodal generative artificial intelligence.

 While traditional AI models generally focus on a single type of data, multimodal generative AI can integrate text, images, audio, and other types of data.

 Multi-modal generative AI can thus provide richer and more comprehensive solutions in real-world applications.

  Google parent company Alphabet announced Gemini 1.0, a multi-modal AI-based large language model (LLM) with language, voice, code and video understanding capabilities, on December 6, 2023. Surpassing GPT4 in most values, Gemini is the most advanced large language model of today.

Table of Contents

Gemini consists of 3 versions

Gemini
Gemini

Introduced in three versions: Ultra, Pro and Nano, each model of Gemini is designed for different usage scenarios. The top-of-the-line model, Ultra, is being developed for extremely complex tasks. Gemini Ultra is targeted to be released in early 2024. 

The Gemini Pro version is designed for performance and deployment at scale. Google has enabled access to Gemini Pro on Google Cloud Vertex AI and Google AI Studio as of December 13, 2023.

 For coding, a special version of Gemini Pro is preferred to power Google AlphaCode 2 generative artificial intelligence coding technology.

The Gemini Nano version also targets on-device use cases. Gemini Nano; It has two different versions: Nano-1 with 1.8 billion parameters and Nano-2 with 3.25 billion parameters. Among the devices where Nano is used is the Google Pixel 8 Pro smartphone.

What abilities does Gemini have?

abilities
Gemini

Google’s new artificial intelligence solution Gemini; It offers the capacity to perform tasks in multiple methods, including text, images, audio and video. 

Gemini’s multimodal nature also enables different methods to be combined to understand and produce an output. This allows it to use its capabilities much more comprehensively, even though it has similar capabilities to platforms such as GPT.

  • text summarization 

Gemini offers the opportunity to summarize content by bringing together content from different data types.

  • Text production

Gemini can generate text based on user prompts. The text generation process is driven by a question-and-answer type chatbot interface.

  • text translations

Gemini comes with extensive multi-language capabilities that enable understanding and translation of more than 100 languages.

  • Code analysis and generation

Gemini can understand, explain and generate code in popular programming languages, including Python, Java, C++ and Go.

  • Understanding the image

Google Gemini can understand image-based content. Gemini, which can parse complex visuals such as graphs, shapes and diagrams, can perform tasks such as creating captions for the image.

  • audio processing

Gemini offers recognition and voice translation support in more than 100 languages, just like text content.

  • understand the video

Gemini can process and understand video clip content to answer questions and create explanations.

  • Multimodal reasoning

Gemini can perform multimodal reasoning by mixing different types of data to create an output. This feature is Gemini’s most important talent.

Gemini’s present and near future

future

Developed by Google as a base model and widely integrated into various Google services, Gemini also supports developers’ applications. Currently, Gemini’s capabilities are used in Google Bard , Google AlphaCode2, Google Pixel, Android 14, Vertex AI and Google AI Studio. Google is also testing Gemini in generative AI-powered search to reduce latency and improve quality.

Although Pro and Nano versions of Gemini are currently available, the real big step of this multi-modal artificial intelligence will be taken with the Ultra model. Google says this model will be rolled out to select customers, developers, partners, and experts for early trials and feedback before being fully rolled out to developers and businesses in early 2024. 

Gemini Ultra is also thought to form the basis for Bard Advanced, an updated, more powerful and capable version of the Google Bard chatbot. If the process progresses positively for Gemini, this multi-modal productive artificial intelligence is planned to be integrated into the Google Chrome browser in the not-too-distant future.

LEAVE A REPLY

Please enter your comment!
Please enter your name here

Share post:

Subscribe

Popular

More like this
Related

Artificial Intelligence Tools That Can Be Used in E-Export

In the "ChatGPT and Artificial Intelligence Tools in E-Export"...

What are SMART goals, why are they needed and how to set them correctly

In the modern world, where everyone strives to achieve...

How and why the United States is developing a lunar economy

The United States is seriously thinking about developing an...

China faces problem of untreatable gonorrhea

In China, there are a growing number of strains...