Global AI News Aggregator
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To help readers understand our evaluations better, we created interactive visualizations showcasing the diversity of each of the model-written datasets: https://t.co/yc9oP9n9uV pic.twitter.com/R5IH7nTJw4
— Anthropic (@AnthropicAI) 19 décembre 2022
To help readers understand our evaluations better, we created interactive visualizations showcasing the diversity of each of the model-written datasets: https://
evals.anthropic.com/model-written/
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We verified LM-written data with human evaluators, who agreed with the data’s labels and rated the examples favorably on both diversity and relevance to the tested behavior. We’ve released our evaluations at
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With more effort, we developed a series of LM generation/filtering stages to create a larger version of the popular Winogender bias dataset. Our “Winogenerated” evaluation contains 50x as many examples as the original while obeying complex grammatical constraints.
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@abacusai makes data wrangling a breeze with advanced features and support for streaming pipelines! Our MLOps platform enables real-time Machine Learning at scale for common enterprise use cases.
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You're joking, but there's already 30M to 50M records with licenses (including Creative Commons) and they weren't seriously trying to collect license information. If they actually tried, they'd probably get to 10% 25% or more…
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You're looking for complexity where there is none. "AI" does not go out in the wild to scrape data, programmers implement code that does it, and thus can & should track the source and copyrights. If there is no clear & usable copyright information, then the code drops it…
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You missed the link by @ninjadodo above then. There are indeed copies stored internally (arguably due to design flaws). It's quite like a compression algorithm, which also fall under copyright. Further, lossy databases are also regulated as databases.
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Operation 'Power Off'! Shutdown of sites offering ability to launch #DDoS attacks for a fee! http://
bit.ly/WebPowerOff More on #CyberSecurity #risk & #education http://
bit.ly/DDoSRise @NETSCOUT #Security #partner #AI #100DaysOfCode #DevOps #data #DataScience #IoT #ML
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enjoyed the telemetry bit, shows how much they care about reporting success of this thing perhaps time based measurement might be buggy if eg i walk away from my desk after seeing a horrible suggestion perhaps could measure based on #’s of edits after a suggestion was accepted
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Of the 92% of companies investing in #analytics, only 19% of them are truly #DataDriven.
— Alteryx (@alteryx) 16 décembre 2022
Why is it so hard to transform analytics?
Watch this segment with@iianalytics (IIA) to learn more: https://t.co/3xvPGfYHBm pic.twitter.com/PE959T0w8b
Of the 92% of companies investing in #analytics, only 19% of them are truly #DataDriven. Why is it so hard to transform analytics? Watch this segment with@iianalytics (IIA) to learn more: http://
ow.ly/WILB50M2InE