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The Gemini Era

Updated: Dec 12, 2023

Google's Newest & Most Capable AI Model "GEMINI"

Gemini marks the next phase of making AI more helpful for everyone.


Unlike other AI models, Gemini is trained to recognize, understand, and combine different types of information including text, images, audio, video, and code.


It state-of-the-art performance gives it remarkable new capabilities & it is built with safety and responsibility at its core.


It is a first step towards a truly universal AI model. The Gemini approach to multimodality is all the kinds of things you want an artificial intelligence system to be able to do & these are the capabilities that have not existed in computers before. Gemini is multimodal from the ground up, so it can impeccably converse and give you the best possible response.


Gemini is the largest and most capable model, it means that Gemini can understand the world around us in the way that we do and absorb any type of input and output & text, but also code, audio, image, and video.


Astonishing about Gemini is that it's so good at everything. Gemini is far better than any other model out there. It is as good as the best expert humans in every area. you can rarely work on technology at a foundational level, and it simultaneously can impact all our products. It's a family of models that can run on everything from mobile devices to data centers, each of which is best in class.



the Gemini era


Gemini is available in three different sizes:


Gemini Ultra — a capable model used for highly complex tasks.

Gemini Pro — best-performing model for a broad range of tasks.

Gemini Nano — for on-device tasks, its a very competent model.


State-of-the-art performance:

The Gemini model is rigorously tested & evaluated on a wide variety of tasks. It goes from images, audio & video understanding to mathematical reasoning. Gemini Ultra's performance exceeds 30 out of 32 academic benchmarks used in large language model (LLM) research & development.


Gemini Ultra scores 90% to outperform human experts in MMLU ( massive multitask language understanding) which contains 57 subjects like maths, physics, law, history, geography, and medicine for both world knowledge & problem-solving capabilities.


Gemini Ultra also gained a state-of-art score of 59.4% on the MU benchmark, which consists of multimodal tasks spanning different domains of reasoning. It surpasses state-of-the-art performance on a range of benchmarks including text and coding.










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