In its testing, Google’s Gemini model outperformed rival AI models across more than two dozen benchmarks commonly used by AI researchers to evaluate an algorithm’s reading comprehension, mathematical ability, and multistep reasoning skills, the company said. But it is unclear how Google’s AI chips stack up against those of leading chipmakers such as Nvidia. That technology, which will also be made available to Google’s cloud customers, could mean a significant boost to the wider AI industry, making AI training more accessible and bolstering Google’s third-place position in the market for public cloud services. The company said it trained Gemini using a new generation of powerful cloud-based processors that can collectively train large AI models nearly three times faster than the prior version. Wednesday’s launch was also designed to showcase Google’s advances in cloud computing, a critical resource for AI developers. The company said Gemini 1.0 comes in three different sizes: Nano, which is optimized for mobile devices and app developers Pro, which is the default model designed for a wide range of tasks and customers and Ultra, the most sophisticated AI model Google says it has ever built and that is still undergoing safety testing. It also represents an effort to push generative AI out to the farthest reaches of Google’s empire. The announcement marks an attempt to reclaim the initiative after Google and other tech giants were apparently caught by surprise a year ago with the sudden and massively popular release of OpenAI’s ChatGPT, which kicked off an industry-wide scramble to fast-track generative AI tools and a global debate about AI’s risks and benefits. Google’s proprietary AI chatbot, Bard, has already been upgraded with a version of the Gemini model, the company said Wednesday, with plans to add Gemini to widely used products including Google’s search engine and Chrome web browser, which are used by billions of people worldwide. “This new era of models represents one of the biggest science and engineering efforts we’ve undertaken as a company,” said Google CEO Sundar Pichai in a blog post. This means it accepts inputs that include multiple types of media, combining text, images, audio, video and programming code. Unlike existing AI models that typically deal with only one type of user prompt, such as exclusively images or text, Gemini was built to be “multimodal,” Google said. The scope of Google’s ambitions were reflected in the company’s announcement, which introduced Gemini as the company’s “largest and most capable AI model” and declared a “Gemini era” that foresees the tech giant’s model being used in every setting, from big companies to consumer devices such as the Google Pixel 8 Pro. UI scripting is not as reliable as other forms of automation like x-callback-url, shell scripts and AppleScript that Hook can also use if an app supports it.Google on Wednesday launched its most ambitious effort yet to compete in the rapidly growing field of generative artificial intelligence, launching an AI model known as Gemini that’s designed to compete with the likes of OpenAI’s GPT models and supercharge everything from Google’s consumer apps to Android smartphones. If (the clipboard) is not equal to "" then Repeat 50 times - poll clipboard for ~2.5 seconds Tell application "System Events" to tell process "Merlin Project"Ĭlick menu item "Copy URL" of menu 1 of menu bar item "Edit" of menu bar 1 Set myselection to selection of first documentĮlse if class of _item is assignment then Press “+” at bottom left, choose the Merlin App, then click on Hook’s Get Address script, paste the following and click save: tell application "Merlin Project" You can try this Get Address script in Hook > Gear menu > Preferences > Scripts. One can get an item’s url by clicking on Edit > Copy URL which returns the like of Merlin does havean AppleScript library, but at this point we can’t seem to get the URL via it. And thanks again to for bringing this up.
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