I get the impression few people have actually read the OAI TOS, because they seem to imagine they say things which just aren't there. As a result, people pointlessly place non-commercial licenses on OAI-generated datasets, or avoid using such datasets altogether.
DATA
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CREATE AI Act Launches NAIRR for Academic Research Access
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This year, Congress introduced the CREATE AI Act, which will establish NAIRR to provide access to compute and datasets for academics, nonprofit researchers & startups. How academia can capitalize on the opportunities NAIRR brings? Join us on Tues, Oct 31: https://
stanford.io/3tXJmsn -
Vector Search, Open-Source Business, and Language-Driven Digital Tech
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Vector Search, Building An Open-Source Business, and Digital Tech via Language with Bob Van Luijt — James Le https://
bit.ly/3tLT94O #AI #MachineLearning #DeepLearning #LLMs #DataScience -
Tax Teams Leverage Analytics Data Prep for Regulatory Compliance
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Is your in-house tax team navigating complex #TaxData, changing regulations, and compliance requirements? Learn how @WESCOCorp leverages @thomsonreuters and #Alteryx to grow despite complexity, and how you can, too. Watch on-demand: https://
ow.ly/ciQH50PZOpj #analytics #dataprep -
NLP Guide: Build and Deploy Machine Learning Models Online
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The guide offers detailed content on areas like natural language processing (NLP) and practical resources for applying learned skills. Users can build, display machine learning models online and participate in Kaggle competitions.
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Insurance Regulation Fragmentation Prevents Consumer Decision Making
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Insurance regulation is byzantine levels of sharded, and while in principle one could aggregate the information, customers would probably not use it to make decisions at the retail level and so nobody puts in that work for that purpose.
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Expert Data Analysis vs Personal Estimation in Decision Making
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Who are you going to believe, your best estimate or a team of statisticians who have 20+ years of full claims data for their firm plus > 1000X that (but hazier) in the broader industry and do nothing but study variations on this problem? And they *don’t even have to be right.*
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Insurance Companies’ Regulatory Loss Calculations Transparency
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Apropos of nothing, but inspired by this tweet: with a bit of Googling you can find almost any insurance company for any product line calculating down to the basis point how much they expect to lose on any insurance company and swearing it on penalty of law to their regulator.
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Analytics Champions Summit Features Data Science Leaders
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Be an Analytics Champion—join #AlterNext Virtual Summit! Enjoy an all-star team of thought leaders and #AnalyticsExperts, including the first U.S. Chief Data Scientist. Plus, hear how Toyo Engineering saved 35,000 hours on just one project! Join: https://
ow.ly/U0fa50PTeU3 -
Instagram’s Ad Targeting Algorithm Effectiveness Analysis
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News feed is definitely not what it used to be, but their ad targeting is very good especially on places like IG. You could insert any other highly effective feed algo as an example (TikTok, etc).