Large language models (LLMs) are machine-learning models designed to understand and generate human language. State-of-the-art LLMs have demonstrated outstanding potential in open-domain question answering (ODQA), where the model is tasked with providing answers to factual questions.Large language models (LLMs) are machine-learning models designed to understand and generate human language. State-of-the-art LLMs have demonstrated outstanding potential in open-domain question answering (ODQA), where the model is tasked with providing answers to factual questions.Computer Sciences[#item_full_content]
Large language models (LLMs) are machine-learning models designed to understand and generate human language. State-of-the-art LLMs have demonstrated outstanding potential in open-domain question answering (ODQA), where the model is tasked with providing answers to factual questions.Large language models (LLMs) are machine-learning models designed to understand and generate human language. State-of-the-art LLMs have demonstrated outstanding potential in open-domain question answering (ODQA), where the model is tasked with providing answers to factual questions.[#item_full_content]
Bluesky surges into the top 5 as X changes blocks, permits AI training on its data
Social networking startup Bluesky, which just reported a gain of half a million users over the past day, has now soared into the top 5 apps on the U.S. App Store and has become the No. 2 app in the Social Networking category, up from No. 181 a week ago, according to data from app […]
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Social networking startup Bluesky, which just reported a gain of half a million users over the past day, has now soared into the top 5 apps on the U.S. App Store and has become the No. 2 app in the Social Networking category, up from No. 181 a week ago, according to data from app
© 2024 TechCrunch. All rights reserved. For personal use only.[#item_full_content]
Investor FOMO returns, and what happened with WordPress and WP Engine?
Today on TechCrunch’s Equity podcast, Devin Coldewey, Margaux MacColl and Anthony Ha are rounding up the week’s startup and venture news, kicking things off with a look at the $400 million raised by Lightmatter, and the importance of fast networking within the fast growing datacenter industry today — not just in years to come — […]
© 2024 TechCrunch. All rights reserved. For personal use only.
Today on TechCrunch’s Equity podcast, Devin Coldewey, Margaux MacColl and Anthony Ha are rounding up the week’s startup and venture news, kicking things off with a look at the $400 million raised by Lightmatter, and the importance of fast networking within the fast growing datacenter industry today — not just in years to come —
© 2024 TechCrunch. All rights reserved. For personal use only.[#item_full_content]
Ensuring the security of network systems and infrastructure is a critical aspect of cybersecurity. Penetration testing (pentesting) is an effective method for evaluating the network security posture.Ensuring the security of network systems and infrastructure is a critical aspect of cybersecurity. Penetration testing (pentesting) is an effective method for evaluating the network security posture.Security[#item_full_content]
A team of AI researchers with Google’s DeepMind London group has found that certain large language models (LLMs) can serve as effective mediators between groups of people with differing viewpoints regarding a given topic. The work is published in the journal Science.A team of AI researchers with Google’s DeepMind London group has found that certain large language models (LLMs) can serve as effective mediators between groups of people with differing viewpoints regarding a given topic. The work is published in the journal Science.Consumer & Gadgets[#item_full_content]
Earlier this year, OpenAI and other artificial intelligence companies wooed Hollywood studios with the futuristic promise of AI tools that they said could help make the business of creating movies and television shows faster, easier and cheaper.Earlier this year, OpenAI and other artificial intelligence companies wooed Hollywood studios with the futuristic promise of AI tools that they said could help make the business of creating movies and television shows faster, easier and cheaper.Business[#item_full_content]
Byju’s founder says his edtech startup, once worth $22B, is now ‘worth zero’
Byju Raveendran, the founder of the embattled edtech group Byju’s, acknowledged on Thursday afternoon that he made mistakes, mistimed the market, and that his startup, once valued at $22 billion, is now effectively worth “zero.” Speaking to a group of journalists, Raveendran said the company’s aggressive acquisition of more than two dozen startups to expand […]
© 2024 TechCrunch. All rights reserved. For personal use only.
Byju Raveendran, the founder of the embattled edtech group Byju’s, acknowledged on Thursday afternoon that he made mistakes, mistimed the market, and that his startup, once valued at $22 billion, is now effectively worth “zero.” Speaking to a group of journalists, Raveendran said the company’s aggressive acquisition of more than two dozen startups to expand
© 2024 TechCrunch. All rights reserved. For personal use only.[#item_full_content]
Today, our understanding and assessment of the physical characteristics of the world around us relies less and less on human intelligence and more and more on artificial intelligence.Today, our understanding and assessment of the physical characteristics of the world around us relies less and less on human intelligence and more and more on artificial intelligence.Security[#item_full_content]
In the current AI zeitgeist, sequence models have skyrocketed in popularity for their ability to analyze data and predict what to do next. For instance, you’ve likely used next-token prediction models like ChatGPT, which anticipate each word (token) in a sequence to form answers to users’ queries. There are also full-sequence diffusion models like Sora, which convert words into dazzling, realistic visuals by successively “denoising” an entire video sequence.In the current AI zeitgeist, sequence models have skyrocketed in popularity for their ability to analyze data and predict what to do next. For instance, you’ve likely used next-token prediction models like ChatGPT, which anticipate each word (token) in a sequence to form answers to users’ queries. There are also full-sequence diffusion models like Sora, which convert words into dazzling, realistic visuals by successively “denoising” an entire video sequence.[#item_full_content]
