Google has unveiled its advanced AI model Gemini. It is now available in Bard and Pixel phones to users worldwide.

Google claims that Gemini is capable of understanding, explaining, and generating high-quality code in popular programming languages. (Image: Google)

Google’s most capable, flexible, and general AI model, Gemini will be available to users across the world from Wednesday. It will be integrated into Bard as well as the latest Pixel 8 Pro smartphones. 

Underlining Gemini’s “state-of-the-art performance across many leading benchmarks”, Google CEO Sundar Pichai said Gemini 1.0 is optimized for different sizes: Ultra, Pro, and Nano. “These are the first models of the Gemini era and the first realization of the vision we had when we formed Google DeepMind earlier this year. This new era of models represents one of the biggest science and engineering efforts we’ve undertaken as a company,” Pichai said in his note.  Meta’s Next Move: Advancing AI with Watermark Tech for an Enhanced User Experience

The result of large-scale collaborative efforts by teams across Google, including at Google Research, Gemini was built to be multimodal and hence can “generalize and seamlessly understand, operate across and combine different types of information including text, code, audio, image and video”. In one of the demos, Google showcased how Gemini can see like a human eye, understand and evaluate in real-time and suggest the next course of action. 

While Gemini Ultra will be the largest and most capable model for highly complex tasks, Gemini Pro will be best at scaling across a wide range of tasks, and Gemini Nano will manage on-device tasks. From today, Gemini Nano will be available in Pixel 8 Pro, powering new features like Summarise in the Recorder app and Smart Reply via Gboard, starting with WhatsApp. Gemini will roll out to more Google products and services like Search, Ads, Chrome and Duet AI. 

A note said Google is already starting to experiment with Gemini in Search, “where it’s making Search Generative Experience (SGE) faster for users, with a 40 per cent reduction in latency in English in the US, alongside improvements in quality”. These new “Ai Agents” Could take your Office job Soon.

From December 13, developers and enterprise customers will be able to access Gemini Pro via the Gemini API in Google AI Studio or Google Cloud Vertex AI. Android developers will also be able to build with Gemini Nano via AICore, a new system capability available in Android 14, starting on Pixel 8 Pro devices. Since Gemini Ultra is still completing trust and safety checks, but will be available to select customers, developers, partners, and safety and responsibility experts for early experimentation and feedback before it is rolled out to developers and enterprise customers early next year. 

Meanwhile, Bard will get a “specifically tuned version of Gemini Pro in English for more advanced reasoning, planning, understanding, and more” from today. Early next year, Google will introduce Bard Advanced, which gives users first access to our most advanced models and capabilities — starting with Gemini Ultra. 

Asked if Gemini has been able to overcome issues with hallucinations that have been plaguing AI models since their launch, Eli Collins, VP, Product, Google DeepMind told  “We have done a lot of work on improving factuality in Gemini, so we’ve improved performance with regards to question answering and quality, but the LLM is still capable of hallucinating. When we integrate these models with products like Bard, we have additional techniques to improve the accuracy of responses.”

Google claims Gemini Ultra’s performance “exceeds current state-of-the-art results on 30 of the 32 widely-used academic benchmarks” used in large language model (LLM) research and development. With a score of 90.0%, Gemini Ultra is the first model to outperform human experts on massive multitask language understanding (MMLU), which uses a combination of 57 subjects such as math, physics, history, law, medicine, and ethics for testing both world knowledge and problem-solving abilities, it added. Plus, the company claimed, Gemini can “understand, explain and generate high-quality code in the world’s most popular programming languages, like Python, Java, C++ and Go”.