Category: AI Category
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Several major US artificial intelligence companies have expressed fear around an erosion of America’s edge in AI development. In recent submissions to the US government, the companies warned that Chinese models, such as DeepSeek R1, are becoming more sophisticated and competitive. The submissions, filed in March 2025 in response to a request for input on…
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AI is shaping the future, but is it truly designed for everyone? Frankie Woodhead, chief product & technology officer at AI-powered learning management system, Thrive, argues that neurodiverse input is not just beneficial but essential for creating inclusive, ethical and effective AI systems. In this Q&A, Woodhead explores how neurodivergent talent enhances AI development, helps…
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Jensen Huang, CEO of Nvidia, hit a lot of high concepts and low-level tech speak at his GTC 2025 keynote speech last Tuesday at the sprawling SAP Center in San Jose, California. My big takeaway was that the humanoid robots and self-driving cars are coming faster than we realize. Huang, who runs one of the…
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Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Whether by automating tasks, serving as copilots or generating text, images, video and software from plain English, AI is rapidly altering how we work. Yet, for all the talk about AI revolutionizing jobs, widespread workforce displacement…
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This post is divided into three parts; they are: • Setting up the translation pipeline • Translation with alternatives • Quality estimation Text translation is a fundamental task in natural language processing, and it inspired the invention of the original transformer model. Source link
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This post is in three parts; they are: • Building a simple Q&A system • Handling Large Contexts • Building an Expert System Question and answering system is not just to throw a question at a model and get an answer. Source link
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Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More As tech giants declare their AI releases open — and even put the word in their names — the once insider term “open source” has burst into the modern zeitgeist. During this precarious time in which…
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Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More A new paper by researchers from Google Research and the University of California, Berkeley, demonstrates that a surprisingly simple test-time scaling approach can boost the reasoning abilities of large language models (LLMs). The key? Scaling up…
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Natural language processing models including the wide variety of contemporary large language models (LLMs) have become popular and useful in recent years as their application to a wide variety of problem domains have become increasingly capable, especially those related to text generation. Source link
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LexisNexis fine-tuned Mistral models to build its Protege AI assistant, relying on distilled and small models for its AI platform.Read More Source link