What is AI Literacy? https://
dataliteracy.com/what-is-ai-lit
eracy/
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RESEARCH
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What is AI Literacy? Understanding Artificial Intelligence Fundamentals
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Football Analytics with Python and R: Learning Data Science Through Sports
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(*AMERICAN*) Football #Analytics with #Python and R — Learning #DataScience Through the Lens of Sports: http://
amzn.to/46SZzNH
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#DataScientist #Rstats #Coding #SportsAnalytics #AI #MachineLearning #PredictiveAnalytics #DataStrategy #CDO #CMO @NCAAFootball @NFL -
Data Sharing Powers Tax Fraud Detection with Advanced Analytics
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Data is essential for tax authorities in detecting fraud, but it may not be enough alone. The key missing element is #DataSharing. Combining data from other sources, the data with advanced analytics becomes a powerhouse for tax fraud analysis. #FraudWeek
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Cohere Shares AI Safety Insights at International Institutes Convening
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Cohere’s @sarahookr attended this week’s inaugural convening of the International Networks of AI Safety Institutes hosted by
@CommerceGov and @StateDept in SF. Sara shared insights from Cohere and @cohereforAI
’s leading work on safety to address practical risks. -
Meta releases code for benchmarking AI-based cryptographic attacks
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As part of our continued work to help assure the future security of deployed cryptographic systems, we recently released new code that will enable researchers to benchmark AI-based attacks — and compare them to new and existing attacks going forward
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Fine-tuning Reduces Hallucinations in AI Models
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E.g. Fine-tuning improved hallucinating
Try it today for free! https://
predibase.com/free-trial -
Linear Attention: Scaling LLMs Beyond Transformer Limitations
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LLMs rely heavily on transformers, which make use of an "attention mechanism" for modeling interactions among inputs. But this attention mechanism is inefficient and thus difficult to scale to longer contexts. Because of this, researchers have been experimenting w/"linear
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CSAIL Proposes Efficient Training Algorithm for Linear Transformers
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Linear transformers have their own downsides, and there have been ongoing efforts in the community on improving their performance while maintaining training efficiency. Recently, CSAIL researchers have proposed a novel parallel algorithm for efficiently training an expressive
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ICLR submission flagged for ethics review over black box terminology
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ICLR submission (not mine) flagged for Ethics Review based on the use of the term "black box." Reminiscent of the drama involving the term "Byzantine," though there is relevant guidance from ACM this time.
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Black Box Term in Computer Science: Ethical Concerns?
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Is the use of the term 'black box' in a computer science paper offensive or otherwise an ethical concern?