Gemini is trained to recognize, decipher, understand, and combine different types of information, including structured and unstructured data such as text, images, audio, video, and code. Its state-of-the-art performance gives it remarkable new capabilities.
Gemini is available in some of Google`s core products starting December 6, 2023: Bard is using a fine-tuned version of Gemini Pro for more advanced reasoning, planning, understanding and more. Pixel 8 Pro is the first smartphone engineered for Gemini Nano, using it in features like Summarize in Recorder and Smart Reply in Gboard. And Google already starting to experiment with Gemini in Search, where it’s making Search Generative Experience (SGE) faster.
Gemini is trained to recognize, understand, and combine different types of information including text, images, audio, video, and code.
A Message from Google and Alphabet CEO Sundar Pichai
Technological advancements invariably serve as catalysts for scientific innovation, societal development, and enhancement of human life. Artificial Intelligence (AI), I posit, marks the most transformative technological shift in our generation, eclipsing the transitions to both mobile and web technologies. AI’s potential to engender opportunities, ranging from the mundane to the revolutionary, is immense. It promises to usher in unprecedented levels of innovation, economic growth, and to exponentially enhance knowledge acquisition, creativity, and productivity.
The prospect that excites me most about AI is its universal applicability and potential to be beneficial globally. As an organization that embraced an AI-first philosophy nearly eight years ago, we are witnessing an accelerating pace of progress. AI is now an integral part of the daily lives of millions, enabling capabilities that were unimaginable just a year ago. This spans from complex query resolution to the creation and collaboration tools revolutionizing how we work. Developers and businesses worldwide are leveraging our AI models and infrastructure, fostering a new wave of generative AI applications.
This progress, though substantial, merely scratches the surface of AI’s potential. Our approach is both bold and conscientious, aiming to maximize societal benefits while ensuring robust safeguards and collaborative efforts with governments and experts to mitigate risks as AI capabilities advance. Our commitment extends to investing in superior tools, foundational models, and infrastructure, all guided by our established AI Principles.
Today marks a significant milestone in our journey: the introduction of “Gemini”, our most advanced and versatile model to date, excelling in numerous leading benchmarks. “Gemini 1.0” comes in three variants – Ultra, Pro, and Nano, each optimized for distinct applications. This marks the beginning of the “Gemini” era, a pivotal point in our ambitious scientific and engineering endeavors at Google DeepMind. We eagerly anticipate the opportunities “Gemini” will unlock globally.
Demis Hassabis, CEO and Co-Founder of Google DeepMind, on “Gemini“
AI has been a lifelong pursuit for many, including myself. From early experiences programming AI in computer games to my tenure as a neuroscience researcher, the goal has always been clear: build intelligent machines to benefit humanity in profound ways.
At Google DeepMind, this vision of a world responsibly empowered by AI propels our endeavours. Our ambition has been to develop a new generation of AI models, mirroring human comprehension and interaction with the world. Our goal is to create AI that transcends the boundaries of mere software, becoming a genuinely intuitive and helpful entity – akin to an expert assistant.
With “Gemini”, we edge closer to this aspiration. This model is the culmination of extensive collaboration across Google, including significant contributions from Google Research. “Gemini” is a multimodal AI, capable of understanding and integrating various data types – text, code, audio, images, and videos. Its versatility extends to efficient operation across diverse platforms, from data centers to mobile devices, greatly enhancing developer and enterprise capabilities in AI integration.
“Gemini 1.0” is optimized in three configurations:
- Gemini Ultra: For complex tasks demanding the highest AI capabilities.
- Gemini Pro: Ideal for a broad spectrum of tasks.
- Gemini Nano: Designed for efficient on-device operations.
Extensive testing of the “Gemini” models shows remarkable performance across various tasks. Notably, “Gemini Ultra” surpasses existing benchmarks in 30 of 32 key academic standards in large language model research. It is the first model to outdo human experts in the MMLU (Massive Multitask Language Understanding), covering a broad range of subjects and testing both knowledge and problem-solving skills. Our novel approach to MMLU enables “Gemini” to employ advanced reasoning, significantly enhancing its response quality.
Making Gemini available to the world
Gemini 1.0 is now rolling out across a range of products and platforms:
Gemini Pro in Google products
Google is bringing Gemini to billions of people through Google products.
Starting today, Bard will use a fine-tuned version of Gemini Pro for more advanced reasoning, planning, understanding and more. This is the biggest upgrade to Bard since it launched. It will be available in English in more than 170 countries and territories, and we plan to expand to different modalities and support new languages and locations in the near future.
Google also bringing Gemini to Pixel. Pixel 8 Pro is the first smartphone engineered to run Gemini Nano, which is powering new features like Summarize in the Recorder app and rolling out in Smart Reply in Gboard, starting with WhatsApp — with more messaging apps coming next year.
In the coming months, Gemini will be available in more of our products and services like Search, Ads, Chrome and Duet AI.
Google is starting to experiment with Gemini in Search, where it’s making our Search Generative Experience (SGE) faster for users, with a 40% reduction in latency in English in the U.S., alongside improvements in quality.
Search Generative Experience (SGE) is a new approach to online search powered by generative AI.
SGE is an a new development in the world of search, showcasing the potential of AI to revolutionize how we access information online. Its expansion and evolution will likely continue to shape the landscape of online search in the decades to come.
Building with Gemini
Starting on December 13, developers and enterprise customers can access Gemini Pro via the Gemini API in Google AI Studio or Google Cloud Vertex AI.
Google AI Studio is a free, web-based developer tool to prototype and launch apps quickly with an API key. When it’s time for a fully-managed AI platform, Vertex AI allows customization of Gemini with full data control and benefits from additional Google Cloud features for enterprise security, safety, privacy and data governance and compliance.
Android developers will also be able to build with Gemini Nano, our most efficient model for on-device tasks, via AICore, a new system capability available in Android 14, starting on Pixel 8 Pro devices. Sign up for an early preview of AICore.
Conclusion and Future Perspective
The advent of “Gemini” symbolizes a transformative era in AI development. It exemplifies our commitment to advancing AI responsibly and ethically, with a focus on maximizing societal benefit. As we continue to explore the vast potential of AI, we remain dedicated to innovation, collaboration, and responsible stewardship of this powerful technology.
How will “Gemini” reshape the landscape of AI applications in various industries?
What are the ethical considerations and safeguards associated with deploying advanced AI models like “Gemini”?
How does “Gemini” balance performance with energy efficiency, especially in its Nano variant?
1. What is Google Gemini AI?
Google Gemini AI is an advanced, multimodal generative model developed by Google AI. It is designed to process and generate various data types, including text, images, code, and even entire websites. Think of it as a super-powered version of AI assistants like Bard, capable of handling complex tasks and generating creative outputs with unprecedented accuracy and versatility.
2. How is it different from existing AI models?
Compared to existing models like GPT-4, Gemini boasts several key differences:
- Multi-modality: It can handle different data formats, making it more versatile and adaptable.
- Scalability: Trained on Google’s new Pathways infrastructure, allowing for massive datasets and potentially exceeding the size of GPT-3.
- Reasoning and problem-solving: Techniques from AlphaGo like reinforcement learning and tree search may equip Gemini with advanced reasoning and problem-solving skills.
3. What kind of tasks can it perform?
Gemini’s capabilities extend far beyond answering questions. Here are a few examples:
- Generating creative text formats: poems, code, scripts, musical pieces, and more.
- Creating original images based on textual descriptions.
- Translating languages accurately and fluently.
- Answering your questions in a comprehensive and informative way, even if open-ended, challenging, or strange.
- Writing different kinds of creative content, like blog posts, articles, and marketing copy.
4. When will it be released?
Initially slated for release in 2023, Gemini’s launch has faced a setback due to challenges with non-English language inputs. The updated release date is expected to be in early 2024.
5. Who will have access to it?
While details are still under wraps, Google plans to make Gemini accessible through API integrations, allowing developers and businesses to integrate its capabilities into their applications and services.
6. What are the potential benefits of Gemini?
Gemini has the potential to revolutionize various fields:
- Research and development: facilitating scientific discovery and technological advancement.
- Education and learning: providing personalized and engaging learning experiences.
- Creative industries: generating new forms of art and entertainment.
- Productivity and automation: automating repetitive tasks and improving efficiency.
7. Are there any concerns about Gemini?
As with any highly advanced technology, concerns exist regarding the potential misuse of Gemini:
- Ethical considerations: ensuring fair and unbiased AI decision-making.
- Job displacement: potential automation of various jobs.
- Misinformation and manipulation: the possibility of generating fake news or propaganda.
Google acknowledges these concerns and emphasizes their commitment to developing and deploying Gemini responsibly. They are actively working with ethicists and policymakers to establish frameworks for safe and beneficial AI development.
Google Gemini AI represents a significant leap forward in the world of artificial intelligence. While its full launch will likely come in 2024, Gemini’s potential to transform various aspects of our lives is undeniable. As we approach this future, it’s crucial to engage in open and honest discussions about the ethical implications and potential benefits of this powerful technology.