Google has rolled out Gemini to compete with AI offerings by rival OpenAI
Google $GOOGL just released Gemini, its new generative AI model. The tech giant, which calls Gemini the most capable and general-purpose AI it’s 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.
Gemini will be available in three models:
1️⃣ Gemini Ultra, the largest and most capable, for highly complex tasks
2️⃣ Gemini Pro, for a wide range of tasks
3️⃣ Gemini Nano, for Android users who want to build Gemini-powered apps. For instance, with Gemini Nano, people can now summarize recordings made using the Recorder app on the Pixel 8 Pro phone (but only in English)
Google has rolled out Gemini to compete with OpenAI’s GPT models. In a press conference, Sissie Hsiao, vice president of Google’s AI chatbot, Bard, said Gemini Pro outperformed GPT-3.5 in six out of the eight industry benchmarks. 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 have been scrambling 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 is now 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 only in English, in more than 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.
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 $NVDA makes the H100 GPU, a popular chip for powering generative AI products.
Hsiao said Google is exploring how to make money from Gemini but had nothing specific to share.
“LLMs are still capable of hallucinating,” said Eli Collins, vice president of product at Google’s DeepMind, at the press conference.
Editor’s note: A previous version of this article said Gemini beat GPT-4 on just one of eight benchmarks; it trailed GPT-4 on just one of eight benchmarks.
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