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Key Facts. The AI model first found itself in hot water when users found its image service was generating historically inaccurate images, such as Black vikings, an Asian woman in a German World...
Google is pausing the ability for its artificial intelligence tool Gemini to generate images of people, after it was blasted on social media for producing historically inaccurate images that...
Three weeks ago, we launched a new image generation feature for the Gemini conversational app (formerly known as Bard), which included the ability to create images of people. It’s clear that this feature missed the mark. Some of the images generated are inaccurate or even offensive.
SAN FRANCISCO — Google blocked the ability to generate images of people on its artificial intelligence tool Gemini after some users accused it of anti-White bias, in one of the highest profile...
Google is sharing more information about what happened to make it pause Gemini’s image generation of people this week.
Google CEO Sundar Pichai told employees in an internal memo late Tuesday that the company's release of artificial intelligence tool Gemini has been unacceptable, pledging to fix and relaunch the...
Today we introduced Gemini, our largest and most capable AI model — and the next step on our journey toward making AI helpful for everyone. Built from the ground up to be multimodal, Gemini can generalize and seamlessly understand, operate across and combine different types of information, including text, images, audio, video and code.
Gemini breaks new ground: a faster model, longer context and AI agents. We’re introducing a series of updates across the Gemini family of models, including the new 1.5 Flash, our lightweight model for speed and efficiency, and Project Astra, our vision for the future... 14 May 2024. Technologies. Our next-generation model: Gemini 1.5.
A white paper released Wednesday outlined the most capable version of Gemini outperforming GPT-4 on multiple-choice exams, grade-school math and other benchmarks, but acknowledged ongoing struggles in getting AI models to achieve higher-level reasoning skills.
Gemini surpasses state-of-the-art performance on a range of benchmarks including text and coding. Gemini Ultra also achieves a state-of-the-art score of 59.4% on the new MMMU benchmark, which consists of multimodal tasks spanning different domains requiring deliberate reasoning.