Explore tweets tagged as #modelobservability
Hi Huskies,. ARE YOU EXCITED FOR FALL 2021?? Do you want to dive deep into AI and Machine Learning?? #Northeastern #skunkworksneu #SkunkForce #aiskunkworks #beaskunk #fall2021 #northeasternuniversity #explainableai #kaggle #visualanalytics #modelobservability
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Hey Huskies ๐.Do take out your time and visit us tomorrow. #aiskunkworks #beaskunk #fall2021 #northeasternuniversity #explainableai #kaggle #visualanalytics #modelobservability #autoreinforcementlearning #ai #dataanalytics #machinelearning #husky #neuhusky #innovation #research
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Hey Skunks ๐.The wait is over. The first official general meet of Skunkworks Fall 2021 has been scheduled. #aiskunkworks #beaskunk #fall2021 #northeasternuniversity #explainableai #kaggle #visualanalytics #modelobservability #autoreinforcementlearning #husky #neuhusky #skunks
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Here is an experience of Kaggle member Anand Krishnamoorthy from AI Skunkworks. #aiskunkworks #beaskunk #fall2021 #northeasternuniversity #explainableai #kaggle #visualanalytics #modelobservability #autoreinforcementlearning #ai #datascience
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Check out my latest blog post overviewing Model Explainability! .Learn about global, cohort, and local model explainability and how you can use explainability in your ML workflow!.#MLExplainability #xAI #MLObservability #ModelObservability
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Hey Huskies Waving hand.Do take out your time and visit us tomorrow. #aiskunkworks #beaskunk #fall2021 #northeasternuniversity #explainableai #kaggle #visualanalytics #modelobservability #autoreinforcementlearning #ai #dataanalytics #machinelearning #husky #neuhusky #innovation
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Welcome! @SuperwiseAI is now available via the NayaOne Marketplace!ย ย .Superwise is a model observability platform built for high-scale production ML. Full announcement.๐.. #modelobservability #genai #generativeai #digitaltransformationplatform #fintech
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We're still seeing #DataLeakage in #Production . Stop it before it spills over โ.#MLOps #ModelObservability #DataScience.
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What if we told you that the question isn't if to retrain, but how to retrain ๐ค Oryan Omer takes us through data-driven #ML retraining with production insights (๐ jupyter notebook included!) .#mlops #datascience #modelobservability #retraining .
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When it comes to ML your best day in production is your first day in production. Models decay and when they do you may need to retrain - but how to retrain? That's the question that you need to answer ๐ค .#MLOps #ModelObservability #DataScience.
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Here's to our ๐๐ญ๐ก ๐ฏ๐๐ง๐๐จ๐ซ ๐ฆ๐๐ง๐ญ๐ข๐จ๐ง in Gartner Hype Cycles this year ๐ This time around in the Hype Cycle for the Future of Applications, 2022 in #xai. #mlops #explainableAI #modelobservability
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Gartner's been busy again! ๐ Check out the latest ๐๐บ๐ฒ๐ฟ๐ด๐ถ๐ป๐ด ๐ง๐ฒ๐ฐ๐ต ๐๐บ๐ฝ๐ฎ๐ฐ๐ ๐ฅ๐ฎ๐ฑ๐ฎ๐ฟ: ๐๐ฎ๐๐ฎ ๐ฎ๐ป๐ฑ ๐๐ป๐ฎ๐น๐๐๐ถ๐ฐ๐ edition! We're thrilled that Superwise is yet again a noted vendor in #ModelOps #ML #mlops #ModelObservability
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Doing #ML without observability is a big no no. But you already know that; so do you build or do you buy โ๏ธ ๐ค ๐ฐ? Here's a guide to choosing the right strategy for your #ModelObservability . #MLOps #MLmonitoring.
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What's 2022 without a few #MLOps predictions? ๐ฎ .Check out the 3 predictions we'll be making, & let us know what your thoughts are. Now on the blog: #modelmanagement #modellifecycle #modelmonitoring #modelobservability #modelexplainability
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Observability in Generative AI: Unlocking the Black Box .#observability #explainableai #GenerativeAI #modelobservability.
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Hey ๐๐๐ง๐ข๐จ๐ซ ๐๐ฎ๐ฅ๐ฅ๐ฌ๐ญ๐๐๐ค ๐๐ง๐ ๐ข๐ง๐๐๐ซ, have we met? Well then let's fix that ๐ค.#mlops #modelobservability #fullstack.
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So what is #modelobservability really all about? This ๐ ๐ค โฌ๏ธ.Get in minutes what used to take years to build. P.S. ๐ We have a community edition too!. #mlops #mlengineer #datascience.
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Just in case you missed it, check out what The Sequence's thought about Superwise's #ModelObservability platform. Some highlights. โ Policies not dashboards.โ Incidents not alerts.โ Continuous CI/CD/CT pipelines. Check it out ๐
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Location, location, location! ๐๐๐.Struggling with making your app portable? Check out Yotam's lessons and tips learned from making the Superwise #modelobservability platform a portable app ๐ ๐๏ธ ๐.
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If you somehow missed this ๐ซ stellar ๐ซ interview all about #ModelObservability and high-scale #ML, then here's a read for you! . So how do you observe and monitor a production pipeline with hundreds of models?ย Well, you'll have to read more ๐ค ๐ ๐
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