
Gemini
About Gemini
Gemini by Google is a highly advanced, multimodal AI model developed by teams across Google, including Google Research and Google DeepMind. It represents a significant leap forward in AI technology, designed to understand and operate across various types of information, including text, code, audio, image, and video. Gemini is Google's most capable and general model to date, built to be flexible and efficient, running on a wide range of devices from data centers to mobile devices.
Gemini comes in three versions:
- Gemini Ultra: The largest model for highly complex tasks.
- Gemini Pro: Optimized for scaling across a wide range of tasks.
- Gemini Nano: Most efficient for on-device tasks.
The model has shown exceptional performance, surpassing human experts in some benchmarks. For instance, Gemini Ultra outperformed human experts in MMLU (massive multitask language understanding) and achieved state-of-the-art scores in MMMU (multimodal tasks requiring reasoning). It also excelled in image benchmarks without relying on OCR systems, indicating its advanced multimodal capabilities.
Gemini's training involved a novel approach, being natively multimodal and pre-trained on different modalities. This development method makes it more effective in understanding and reasoning about diverse inputs. Its sophisticated reasoning capabilities allow it to analyze complex written and visual information, making it a powerful tool in fields ranging from science to finance.
In coding, Gemini understands, explains, and generates code in multiple languages, significantly enhancing coding benchmarks. It also powers advanced code generation systems like AlphaCode 2, which has shown remarkable performance in competitive programming problems.
Google has optimized Gemini's training and serving efficiency using their AI-optimized infrastructure and Tensor Processing Units (TPUs). Safety and responsibility are core aspects of Gemini's development, with comprehensive safety evaluations, including bias and toxicity checks.
Gemini is being integrated into various Google products and platforms, with applications in Google Search, Bard, Pixel smartphones, and more. Developers and enterprise customers will have access to Gemini Pro via the Gemini API in Google AI Studio or Google Cloud Vertex AI. Gemini Ultra, undergoing further safety checks and refinements, will soon be available for broader access and integration into future applications.
Gemini News
This viral “Gemini meltdown” reveals a specific illusion in AI code that makes you trust it too much
The “secret” thoughts of an AI model change based on your tone, proving the system is performing intimacy rather than experiencing it.
- Gemini stock could sink if yield ambitions die under harsh SEC settlement terms
Gemini IPO buyers risk sharp losses if SEC penalty lands near $50 million.
- Gemini shares hit $40 within hours of Nasdaq debut, showcasing Wall Street’s crypto appetite
Investor enthusiasm boosts Gemini's stock beyond opening projections, marking a strong entry into the public market.
- Gemini raises IPO price range to $19 at the top end, targeting $435M raise
At the top end, Gemini would raise roughly $435 million, up from about $317 million under its earlier goal.
Gemini Video
Gemini Team

Larry Page
Founder

Sergey Brin
Founder

Sundar Pichai
CEO
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