Google Gemini AI largest and most capable AI model
Large-scale teamwork from teams within Google, including our friends at Google Research, produced Gemini
Since it was designed from the ground up to be multimodal, it can comprehend, operate on, and combine various forms of information, such as text, code, audio, images, and videos, with ease
Gemini Ultra outperforms the state-of-the-art findings on 30 of the 32 commonly used academic benchmarks used in large language model (LLM) research and development, from natural picture, audio, and video understanding to mathematical reasoning
With an MMLU (massive multitask language understanding) score of 90.0%, Gemini Ultra is the first model to surpass human specialists in this domain
Bard will begin using an enhanced version of Gemini Pro today in order to perform more sophisticated planning, comprehending, reasoning, and other tasks
Developers and enterprise clients can use Google Cloud Vertex AI or Google AI Studio’s Gemini API to access Gemini Pro as of December 13
Through AICore, a new system feature coming with Android 14, Android developers will also be able to create with Gemini Nano, our most effective model for on-device tasks, starting on Pixel 8 Pro devices