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#annotators — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #annotators, aggregated by home.social.

  1. svd.se/a/K8nrV4/metas-ai-smart

    callled #Sama…subcontractor to Meta…in Kenya’s capital, thousands of people train AI systems, teaching them to recognise and interpret the world.

    …called data #annotators…they are the manual labourers of the #AI revolution. On the screens they draw boxes around flower pots and traffic signs, follow contours, register pixels and name objects: cars, lamps, people…

    …workers in #Kenya say that it feels uncomfortable to go to work. They tell us about deeply private video…

  2. svd.se/a/K8nrV4/metas-ai-smart

    callled #Sama…subcontractor to Meta…in Kenya’s capital, thousands of people train AI systems, teaching them to recognise and interpret the world.

    …called data #annotators…they are the manual labourers of the #AI revolution. On the screens they draw boxes around flower pots and traffic signs, follow contours, register pixels and name objects: cars, lamps, people…

    …workers in #Kenya say that it feels uncomfortable to go to work. They tell us about deeply private video…

  3. svd.se/a/K8nrV4/metas-ai-smart

    callled #Sama…subcontractor to Meta…in Kenya’s capital, thousands of people train AI systems, teaching them to recognise and interpret the world.

    …called data #annotators…they are the manual labourers of the #AI revolution. On the screens they draw boxes around flower pots and traffic signs, follow contours, register pixels and name objects: cars, lamps, people…

    …workers in #Kenya say that it feels uncomfortable to go to work. They tell us about deeply private video…

  4. svd.se/a/K8nrV4/metas-ai-smart

    callled #Sama…subcontractor to Meta…in Kenya’s capital, thousands of people train AI systems, teaching them to recognise and interpret the world.

    …called data #annotators…they are the manual labourers of the #AI revolution. On the screens they draw boxes around flower pots and traffic signs, follow contours, register pixels and name objects: cars, lamps, people…

    …workers in #Kenya say that it feels uncomfortable to go to work. They tell us about deeply private video…

  5. svd.se/a/K8nrV4/metas-ai-smart

    callled #Sama…subcontractor to Meta…in Kenya’s capital, thousands of people train AI systems, teaching them to recognise and interpret the world.

    …called data #annotators…they are the manual labourers of the #AI revolution. On the screens they draw boxes around flower pots and traffic signs, follow contours, register pixels and name objects: cars, lamps, people…

    …workers in #Kenya say that it feels uncomfortable to go to work. They tell us about deeply private video…

  6. The secret to making #AIChatbots sound #smart and #spew less #toxic nonsense is to use a technique called reinforcement learning from #HumanFeedback, which uses input from people to improve the model’s answers. It relies on a small army of #human #data #annotators who evaluate whether a string of text makes sense and sounds fluent and natural. They decide whether a response should be kept in the AI model’s database or removed. technologyreview.com/2023/06/1

  7. The secret to making #AIChatbots sound #smart and #spew less #toxic nonsense is to use a technique called reinforcement learning from #HumanFeedback, which uses input from people to improve the model’s answers. It relies on a small army of #human #data #annotators who evaluate whether a string of text makes sense and sounds fluent and natural. They decide whether a response should be kept in the AI model’s database or removed. technologyreview.com/2023/06/1

  8. The secret to making #AIChatbots sound #smart and #spew less #toxic nonsense is to use a technique called reinforcement learning from #HumanFeedback, which uses input from people to improve the model’s answers. It relies on a small army of #human #data #annotators who evaluate whether a string of text makes sense and sounds fluent and natural. They decide whether a response should be kept in the AI model’s database or removed. technologyreview.com/2023/06/1

  9. The secret to making #AIChatbots sound #smart and #spew less #toxic nonsense is to use a technique called reinforcement learning from #HumanFeedback, which uses input from people to improve the model’s answers. It relies on a small army of #human #data #annotators who evaluate whether a string of text makes sense and sounds fluent and natural. They decide whether a response should be kept in the AI model’s database or removed. technologyreview.com/2023/06/1

  10. The secret to making #AIChatbots sound #smart and #spew less #toxic nonsense is to use a technique called reinforcement learning from #HumanFeedback, which uses input from people to improve the model’s answers. It relies on a small army of #human #data #annotators who evaluate whether a string of text makes sense and sounds fluent and natural. They decide whether a response should be kept in the AI model’s database or removed. technologyreview.com/2023/06/1