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Beyond GenAI: How Data Annotation is Evolving for the AGI Era

Beyond GenAI: How Data Annotation is Evolving for the AGI Era

We are witnessing a pivotal shift in AI development. While companies have spent the last few years competing for top spot among GenAI models, the industry is now setting its sights on something much bigger: Artificial General Intelligence (AGI). And this shift is fundamentally changing how we think about data annotation.

Read this blog to discover how data annotation is evolving for the era of AGI.

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    What are you focussing on *

    [selct_multiselct* ans1 class:form-control multiple include_blank placeholder:Select "Get data labeled" "Prepare a domain specific fine-tuning dataset" "Run a model check-up (evaluation/benchmarking)" "Safety testing (Red-teaming)" "Not sure"]

    What type of data are you working with? *

    [selct_multiselct* ans2 class:form-control multiple include_blank placeholder:Select "Text" "Images/Video" "Audio transcripts" "Multilingual" "Multimodal" "Other"]

    What’s the biggest challenge right now *

    [selct_multiselct* ans3 class:form-control multiple include_blank placeholder:Select "Data quality/consistency" "Not enough volume" "Edge cases" "Curating the right-data" "Domain Expertise required" "Not sure"]

    What is your timeframe for addressing this need *

    Do you have budget in place *

    Are you the final decision maker? *

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