Everything you need to know about Gemini, Google’s new AI model

Google has just released Gemini, its new generative AI model. The tech giant, which calls Gemini the most capable and general AI it has developed so far, said it plans to expand the advanced version of this large language model (LLM) next year. The LLM is multimodal, meaning it can understand different types of information, including text, audio, images and video.

Twins will be available in three models:

1️⃣ Gemini Ultra, the largest and most capable, for highly complex tasks

2️⃣ Gemini Pro, for a wide variety of tasks

3️⃣ Gemini Nano, for Android users who want to build Gemini-powered apps. For example, with Gemini Nano, people can now summarize recordings made with the Recorder app on the Pixel 8 Pro phone (but only in English)

Google launched Gemini to compete OpenAI’s GPT models. Sissie Hsiao, vice president of Google’s AI chatbot Bard, said at a press conference that Gemini Pro outperformed GPT-3.5 in six out of eight industry metrics. Google’s most advanced model, Gemini Ultra, beat the newer GPT-4 in seven of the eight benchmarks.

In the wake of OpenAI’s release of ChatGPT About a year ago, tech giants struggled to launch their own chatbots and LLMs to compete with the AI ​​startup. Google’s recent evaluations of Gemini suggest that OpenAI’s competitors are catching up.

Here’s what else you need to know about Google’s Gemini:

Bard gets an update

Bard has now been upgraded with Gemini Pro, which gives the chatbot more advanced reasoning and understanding, among other capabilities, according to Google. Gemini Pro-backed Bard is available in English only, in over 170 countries. Bard will be integrated with Gemini Ultra next year, Google said. In the coming months, the company will add Gemini across its other apps, including search, Google Ads and the Chrome browser.

Gemini works on Google’s TPUs

The LLM runs on Google-made tensor processing units, or TPUs, specialized hardware designed for training AI models. But in the future, Gemini will be trained on both TPUs and graphics processing units (GPUs), said Amin Vahdat, vice president of Google’s Cloud AI, in a briefing. Nvidia makes the H100 GPUa popular chip for powering generative AI products.

Will people have to pay for this?

Hsiao said Google is investigating how to monetize Gemini, but had nothing specific to share.

Are Gemini Hallucinating?

“LLMs are still capable of hallucinating,” Eli Collins, vice president of product at Google’s DeepMind, said at the press conference.

Editor’s note: An earlier version of this article said Gemini beat GPT-4 on just one of eight metrics; it was behind GPT-4 on only one of eight measures.