I would say: smaller teams of full time people in a single org, simpler performance goals, more paid compute, no specific goals on ethical sourcing or social impact of the dataset creation process
DATA
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AI Evolution Reshapes Modern Advertising Industry Landscape
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What Will Artificial Intelligence Do To Us?
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What Will #ArtificialIntelligence Do To Us? https://
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New Security Analysis Tool for Deployment Best Practices
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We know that data is one of the most valuable assets. That's why we've built security into every layer Now, we're excited to introduce Security Analysis Tool, which enables customers to review current deployments against our security best practices https://
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Parallel Experiments Challenge in Multilingual Machine Learning Project
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I also think there was a will to experiments on too many aspects at the same time and in parallel in BS: try a new organisation, a multilingual model with low-ressources languages, a new way of building a dataset (crowd sourcing of sources), attempts to train in fp16, etc etc
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Enterprise AI Adoption Report 2022 Free Download
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AI Adoption in the Enterprise 2022 Download Free Report from @OReillyMedia
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100+ Free Data Science and Machine Learning eBooks
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Digital Expert Connect Enables Virtual Ultrasound Collaboration Innovation
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How #Digital Expert Connect Aids Clinician #collaboration #Training & #patient care #Innovation in #ultrasound Superb #TechForGood #partnership @GEHealthcare & @intel https://
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Research on AI Example Benefits: Output Syntax and Label Space Learning
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I think what Min et al. shows is that much of the benefit of examples is learning the output syntax and label space. Results aren’t as clean as this anecdote suggests by itself, e.g. OOD labels dramatically hurt performance.