Google has officially announced its most capable multimodal AI model called Gemini, which will be integrated into its products and services like Search, Ads, Chrome, Android, and more. After major delays, the AI-first company has rolled out Gemini AI to intensify the debate about the technology’s potential promise and perils. The AI industry is leaping forward, with Gemini adding problem-solving skills, especially adept at math and physics, to improve the lives of everyone while intensifying potential AI applications, just like humans.
The Gemini AI model adds techniques that improve performance by generating more accurate content. The company has built this from the ground up, using a multimodal approach that combines different types of text, code, audio, images, and audio. Eight years ago, the AI-first company started helping users answer complex questions through research and has since added new capabilities over time.
Google Gemini AI Model: The Latest Foundation Model
The latest AI model can handle different types of output, including text and images. The multimodal LLM outperformed GPT-4 for natural interactions, which could revolutionise the capabilities of mimicking human-like interactions. The company has hinted that it could potentially be the largest language model to date.
The foundational model is designed to handle a diverse range of data sources, including the capabilities of accomplishing input. The company is still catching up with ChatGPT and other similar AI models, as these chatbots were introduced a year ago. The company has trained it on five times more data, including sources like Wikipedia, Reddit, and others, compared to its predecessors. While being faster, it also reduces the cost of operating such a system.
Gemini’s reasoning capabilities help users understand and reason with the tools through a clean chat interface. It comes in three different sizes: Gemini Nano, Gemini Pro, and Gemini Ultra, which are optimised to handle different levels of tasks. It is said to reduce the latency of English by 40% in the US. However, it still has a hallucination issue.
Features of the Gemini AI Model
With its wide range of performance on a range of multimodal benchmarks, here is an overview of the features of the most viable alternative to Google’s Gemini AI Model.
- Capable of understanding text, images, audio, and more at the same time.
- Advanced coding that can understand, explain, and generate high-quality code in Python, Java, C++, and Go.
The company first announced the Gemini AI during the I/O conference, where the DeepMind division of Google AI said they designed it to analyse images, audio, and text to find patterns in massive datasets, making it a multimodal model. Unlike GPT-4, which relies on plugins and integrations to offer multimodal functionality.
Gemini 1.0 with advanced capabilities and an AI model
It’s the most flexible model that brings advanced capabilities to everyone for free, while its competitors like ChatGPT-4 cost $20 per month.
Google DeepMind, a division of Google, brings state-of-the-art performance that surpasses the leading benchmark. It is set to roll out gradually in phases, which will unlock opportunities for millions of people.
- Gemini Nano: This is the most efficient model for on-device tasks, offering smart replies in chat apps like WhatsApp through GBOARD and summarization for voice recordings on-device.
- Gemini Pro: It is commonly used for a wide range of tasks. It is capable of understanding, summarising, reasoning, coding, and planning.
- Gemini Ultra: The largest and most capable model for highly complex tasks. It outperformed human experts on MMLU (Massive Multitask Language Understanding) with a 90.0% score. MMLU includes math, physics, history, law, medicine, and ethics. It is still under safety checks and trust. Once it accomplishes this, it will start rolling out and be made available early next year. The Ultra Model retrieves the correct value with 98% accuracy when queried across the full context length.
- AlphaGo 2: It also upgraded the coding model for AlphaGo 2, which helps to understand, explain, and generate high-quality code in programming languages like Python, Java, C++, and Go. It is the first AI to write code at a human level in competitive programming, performing 85% better than the competition and 50% better than its predecessor.
Additionally, Gemini was built from scratch as a collaboration across Google divisions. It isn’t limited to all types of information, as it can process text, code, audio, images, and videos. Upfront, the upgraded Gemini AI has had 10x more parameters per year for the last five years and runs on the Cloud TPU V5P. It utilises the most powerful, scalable, and flexible TPU at scale.
However, Google hasn’t trained dedicated AI models like OpenAI’s DALL-E image generation tool and Whisper for audio processing.
Gemini AI is better than OpenAI’s GPT-4.
Gemini Pro has outperformed GPT 3.5, including MMLU, GSM8K, and other leading standards for measuring large AI models.
It is more flexible than GPT-4. Gemini AI is multimodal, whereas GPT-4 uses plugins to accomplish similar tasks. It offers options for on-device processing without needing internet connectivity. Additionally, GPT-4 is only accessible to paid users via ChatGPT Plus.
Moreover, Google has implemented new protections to account for Gemini’s multimodal capabilities, aiming to avoid the risk of misinformation and prevent issues that could interfere with future development and improvements. Experts and partners have stress-tested Gemini AI to identify blind spots for safety evaluation and safeguard against bias, toxicity, cyber-offence, persuasion, and autonomy.
Pre-Requirements for Gemini AI by Google
Seamlessly integrated into Bard and Pixel 8 Pro, offering on-device efficiency, wide scalability, and unparalleled complexity. It is currently only available in English, but Google plans to diversify into other languages in the coming weeks.
Google Bard with Gemini AI
The company has integrated Gemini Pro into Bard, which is available in more than 720 countries. However, Bard isn’t accessible in the European Economic Area, which includes the EU and Switzerland.
- Open Google Bard (by visiting bard.google.com).
- Next, you can log in with your personal Google account.
- After that, you can start using Google’s latest multimodal Gemini.
- Enter the prompt in the text area to start generating content for you.
You can use it for advanced reasoning, planning, understanding, and other capabilities.
Bard Advance with Gemini Ultra
Gemini Ultra will be announced later next year, unlocking a cutting-edge AI experience with more capabilities. Ultra is being further refined and extensively tested for safety before being made available through early access to selected customers, developers, and partners.
Google Pixel 8 Pro, powered by Gemini AI
The December Pixel feature drop updates start rolling out Gemini Neo to Pixel 8 Pro with Android 14. Gemini Neo allows processing of data on-device, even in offline mode.
Summarise in the Recorder App
Now you can get a summary of your voice recordings.
Smart Reply
Settings > Developer Options > AiCore Settings and toggle “Enable Aicore Persistent”
Gboard (formerly Google Keyboard) now has Smart Reply, giving high-quality suggestions for messages. Currently, it is supported on WhatsApp, with more applications to be supported over time.
More similar features are yet to come over time. In addition to this, there are other AI-powered features like photos and videos, such as cutting-edge videos, recording timelapse videos after dark, better lighting, photo unblur, high-quality video calls, document scanning, and smart replies in the Call Screen.
Other Gemini AI-powered Features
This option is part of Chrome's new AI-powered features that will be available in the future:https://t.co/jgsXicErAa pic.twitter.com/SNg0GrFVRr
— Leopeva64 (@Leopeva64) December 6, 2023
Gemini AI Model for Developers
It is going to give access to Gemini for developers and enterprises via the Gemini API in AI Studio and Vertex AI. Google’s Gemini AI is scheduled to be released on December 13.
Android developers will be able to integrate Gemini AI into their products and services with the Gemini Nano via AI Core. The company aims to monetize Gemini and also plans to license it to developers and businesses.
Gemini AI in Google Products and Services
Google will offer its advanced multimodal capabilities, capable of handling complex tasks, in Google Search (SGE, Search Generative Experience), YouTube, Gmail, Google Maps, Google Play, Android, Chrome, Duet AI, Help Me Write, and others.
Conclusion
Google has also opened several roles for Google DeepMind. Google aims to further improve Gemini, as other companies, including Meta, IBM, Amazon, and reportedly more than 50 organisations, are accelerating the development of AI. Similarly, Apple is also developing its own GenAI for next year for iOS and Siri. We have seen how Apple is leveraging AGI on iOS 17 for predictive text recommendations with the iOS 17 iPhone Keyboard.
