Microsoft's Copilot AI is slowly but surely appearing everywhere. The software, powered by GPT-4, can now replace the default option of Google Assistant (or even Gemini) on your Android phone.
16.02.2024 - 03:17 / tech.hindustantimes.com / Ai
Alphabet Inc.'s Google is rolling out a new version of its powerful artificial intelligence model that it says can handle larger amounts of text and video than products made by competitors.
The updated AI model, called Gemini 1.5 Pro, will be available on Thursday to cloud customers and developers so they can test its new features and eventually create new commercial applications. Google and its rivals have spent billions to ramp up their capabilities in generative AI and are keen to attract corporate clients to show their investments are paying off.
“We're focusing first and foremost today on delivering you the research that enabled this model,” Oriol Vinyals, a Google vice-president and Gemini co-tech lead said in a briefing with reporters. “Tomorrow, we're excited to see what the world will make of the new capabilities.” The mid-size version of the new AI model, Gemini 1.5 Pro, performs at a level similar to the larger Gemini 1.0 Ultra model, Google said.
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Since OpenAI's runaway success in late 2022 with its conversational chatbot ChatGPT, Google has been angling to show that it, too, is a force in cutting-edge generative AI technology, which can create new text, images or even video based on user prompts. More companies have been experimenting with the technology, which can be used to automate tasks like coding, summarizing reports or creating marketing campaigns.
Google released its AI model Gemini in December with three versions, allowing it to be customized to the task at hand and able to run on everything from mobile devices to large-scale data centers. Gemini is Google's response to the allied forces of Microsoft Corp. and OpenAI, which some say have been quicker to take advantage of the current AI boom, including among cloud customers and developers.
Now, Google is seeking to lure those users into its ecosystem with even more powerful tools. Gemini 1.5 can be trained faster and more efficiently, and has the ability to process a huge amount of information each time it's prompted, according to Vinyals. For example, developers can use Gemini 1.5 Pro to query up to an hour's worth of video, 11 hours of audio or more than 700,000 words in a document, an amount of data that Google says is the “longest context window” of any large-scale AI model yet. Gemini 1.5 can process far more data compared with what the latest AI models from OpenAI and Anthropic can handle, according to Google.
In a pre-recorded video demonstration for reporters, Google showed off how engineers asked Gemini 1.5 Pro to ingest a 402-page PDF transcript of the Apollo 11 moon landing, and then prompted it to find quotes that showed “three funny moments.” One of answers from the AI model
Microsoft's Copilot AI is slowly but surely appearing everywhere. The software, powered by GPT-4, can now replace the default option of Google Assistant (or even Gemini) on your Android phone.
Google is pausing its AI tool that creates images of people following inaccuracies in some historical depictions generated by the model, the latest hiccup in the Alphabet-owned company's efforts to catch up with rivals OpenAI and Microsoft.
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One UI 6.1 debuted with a bunch of Galaxy AI features, although a lot of us thought that these features would be limited to just the Galaxy S24 series. Samsung jumped the gun and reminded us why they are among the best Android OEMs, as the company promised that the AI features will reach the older devices, as well.
Google has announced its latest innovation in artificial intelligence (AI) called Gemma on the heels of the launch of Gemini Pro 1.5 Pro a few days ago. Developed by Google DeepMind, It is a family of lightweight and open AI models that Google says Gemma is built from the same research and technology that was used to create Gemini.
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Sam Altman's goal of raising about $7 trillion to make artificial-intelligence chips tells a story beyond his borderline-insane ambitions. First, the infrastructure needed to build AI has become exorbitantly expensive. Second, most of that value is still — still! — held by a handful of large technology companies — and the oligopoly is only going to get worse.
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