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OpenAI CEO says there is enough data to train the next generation of artificial intelligence
Sam Altman, CEO of OpenAI, stressed the importance of using high-quality data to train AI models in an interview. He said that high-quality data is critical to AI systems, whether it is human-generated data or synthetic data. Altman mentioned the need for high-quality data for AI systems in an interview at the AI for Good Global Summit. He believes that low-quality data, whether it is from humans or synthetically generated, will become a problem. Altman said: "I think you need...- 1.5k
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MIT Technology Review: Data is the foundation of generative AI
Pre-trained large language models (LLMs) such as GPT-4 and Gemini have attracted much attention from organizations, who are eager to use LLMs to build applications such as chatbots and co-pilots. According to a new report from MIT Technology Review, titled "AI Readiness of C-Level Leaders," a survey conducted on behalf of ETL vendor Fivetran found that scaling AI or GenAI is the "top priority" of 82% executives surveyed. Source Note: Image generated by AI, image license service provider Midjourney survey…- 1.3k
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Meta will use data from European users to train AI, claims it has legitimate interests
Recently, the US company Meta announced that it will begin using European users' data to train its artificial intelligence, claiming that this move has legitimate interests. Meta said that in order to help users get these experiences, it will now use users' information to develop and improve Meta's AI, and users have the right to object to their information being used for these purposes. The company has added updates to its privacy policy to reflect these changes. The update will take effect on June 26, 2024. The notice has been sent to European users through Facebook's in-app notification system: "…- 1.9k
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Research: The Internet is full of low-quality machine-translated content, and large language model training needs to be wary of data traps
Researchers at Amazon Cloud AI Labs found that a large amount of content on the Internet comes from machine translation (MT), and the quality of these translated content across multiple languages is generally low. The research team emphasized that this highlights the importance of data quality and source considerations when training large language models (LLMs). Image source Pexels The study also found that machine-generated content is common in translations of languages with fewer resources and accounts for a large portion of online content. IT Home noted that the research team developed a massive...- 1.3k
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