Google’s Gemini AI won’t be available in Europe — for now

Key Takeaways:

– Google has launched its new set of generative AI models called “the start of the Gemini era”
– The Gemini models have been trained to recognize, understand, and combine different types of information including text, images, audio, video, and code
– Gemini is as good as the best human experts in 50 different subject areas and scored over 90% on industry standard benchmarks for large language models
– The Gemini family of models includes Gemini Ultra, Gemini Pro, and Gemini Nano, each with different capabilities and intended uses
– Google has trained Gemini 1.0 using its AI-optimized infrastructure and announced the Cloud TPU v5p for training advanced AI models
– Gemini Nano is optimized for mobile devices and allows developers to build AI applications that can work offline with enhanced data privacy options
– Google is providing the AI Studio, a free web-based developer tool, to prototype and launch apps using the Gemini Pro model
– Gemini Pro is available to developers and enterprise customers starting from December 13, but it will not be available in Europe yet due to regulatory hurdles
– Google plans to expand Gemini to different modalities, support new languages, and locations in the near future
– A “fine-tuned” version of Gemini Pro has been launched for Google’s existing Bard chatbot, but it will also be available across more of Google’s services in the coming months
– European users will have to wait for Gemini to be available in their region, similar to the delay with Bard’s release in Europe due to GDPR compliance concerns
– Google is planning a preview of “Bard Advanced” powered by the multimodal Gemini Ultra next year.

The Next Web:

Yesterday, Google launched its much anticipated response to OpenAI’s ChatGPT (the first release of Bard didn’t really count, did it?). However, the new set of generative AI models that Google is dubbing “the start of the Gemini era” will not yet be available in Europe — due to regulatory hurdles. 

The tech giant is calling Gemini the “most capable model ever” and says it has been trained to recognise, understand, and combine different types of information including text, images, audio, video, and code. 

According to Demis Hassabis, CEO of Google DeepMind, it is as good as the best human experts in the 50 different subject areas they tested the model on. Furthermore, it scored more than 90% on industry standard benchmarks for large language models (LLMs). 

The three models of the Gemini AI family

The Gemini family of models will be available in three sizes. Gemini Ultra is the largest (but also slowest), intended to perform highly complex tasks; Gemini Pro the best-performing for a broad range of tasks; and Gemini Nano for on-device tasks.

Google says it has trained Gemini 1.0 on its AI-optimised infrastructure using the company’s in-house Tensor Processing Units (TPUs) v4 and v5e. Along with unveiling the Gemini family, Google also announced the Cloud TPU v5p, which is specifically designed for training cutting-edge AI models.