Would you like to learn how to explore large internet archives with embeddings? Check out this co:lab friday session with our very own @JayAlammar
, sharing how he built a map of top 10,000 Hacker News posts of all time! https://
hubs.li/Q01rPlY10
#topicmodelling #embeddings
AI
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Exploring Large Internet Archives with Embeddings
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AI-Powered Predictive Maintenance Transforms Railway Operations
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Its #Rail ROI !
Where #SDWAN Meets 'SCOTT' Program – #Security #Cost & #Space are the benefits for #predictive #Maintenance to passenger #experience ! @klasgroup @insightdottech @Inteliot https://
insight.tech/cities/getting
-railway-predictive-maintenance-on-the-right-track?utm_source=twitter&utm_medium=organic&utm_campaign=2022-tdc-eaves
… #innovation #IntelPartner #trains #ITInfluencer #AI #ML #IoT -

Dr. Van Essendelft Presents Computational Physics Research on Cerebras CS-2
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Join Dr. Dirk Van Essendelft at #SC22 as he describes the tremendous Computational Physics research he’s done using the Cerebras CS-2 system. There will be two presentations at 10 am and 2 pm in Cerebras booth 2833. #HPC #Physics #SC22
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CapCut: User-Friendly AI Video Editing Tool Gaining Popularity
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ohhhhh I gotta look. I also have had some fun in Cap Cut recently. So basic, but also so easy to use.
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NVIDIA GPUs Power NASA Webb Telescope and AI Drug Discovery
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Our GPUs interpret data from the @NASAWebb Space Telescope so that all of humanity can see outer space as never before. And to help researchers explore the vast chemical space of drug discovery, we built the #AI-powered BioNeMo cloud service. https://t.co/sf8g0w4Mda #NVIDIAstory
— NVIDIA (@nvidia) 8 novembre 2022Our GPUs interpret data from the @NASAWebb Space Telescope so that all of humanity can see outer space as never before. And to help researchers explore the vast chemical space of drug discovery, we built the #AI-powered BioNeMo cloud service. https://
nvda.ws/3xTkalW #NVIDIAstory -
Inspiration from Ajeya Cotra’s Sandwiching Concept in Research
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This paper was heavily inspired by prior work, especially Ajeya Cotra's 'sandwiching' concept:
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Human Accuracy Improves 10 Percent Through Model Interaction
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Generally, we see that our participants start out with far worse accuracy on these tasks than our models do, and that by interacting with the models, they’re able do about 10 percentage points better.
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Human-AI Collaboration Improves Task Performance Through Simple Chat Strategy
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Our experiment shows that through a simple strategy – having humans chat with models while completing a task – we can help humans perform better at these tasks. This is very encouraging, albeit preliminary!
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Non-Experts Answer Expert Questions on MMLU and QuALITY
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We ask non-experts to answer expert-level questions on MMLU, and also ask people to answer questions about long QuALITY passages under a time limit that’s too short for a careful read.
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Leveraging Model Capabilities While Maintaining Supervisory Control
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This is tricky: To do this, we’ll need ways for the human who’s supervising the model to use any relevant knowledge or skills that the model already has, even though they can’t trust the model to be reliably helpful.