I would say that your inbox captures max 1% of you. In other words, if you trained LLM on your inbox data, it would predict only 1% of your actions. I think there's so much that is not in your inbox. However, my cryptic tweet was meant to be mainly about setting boundaries on
DATA
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Artificial Intelligence Systems Require Massive Training Data
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You know a system has little intelligence when it takes a trillion words to train it.
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Meta Releases New Video Segmentation Model and SA-V Dataset
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In addition to the new model, we’re also releasing SA-V, a dataset that’s 4.5x larger + has ~53x more annotations than the largest existing video segmentation dataset.
— AI at Meta (@AIatMeta) 29 juillet 2024
We hope this work will help accelerate new computer vision research ➡️ https://t.co/yeUinLH9lg pic.twitter.com/MoDxeA31hUIn addition to the new model, we’re also releasing SA-V, a dataset that’s 4.5x larger + has ~53x more annotations than the largest existing video segmentation dataset. We hope this work will help accelerate new computer vision research https://
go.fb.me/yck7bu -
Scale AI creates rigorous AI benchmarks for field advancement
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Thanks also to @alexandr_wang and the @scale_AI team for doing the vital work to create these rigorous benchmarks, the field needs more great work on topics like this!
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Razorpay accelerates AI model deployment with DataRobot platform
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Razorpay leverages DataRobot to enhance its AI capabilities and stay competitive in the fintech space. Pranjal Yadav, Head of AI/ML at @Razorpay
, shares how building and deploying AI models now takes just a few hours instead of a week, cutting time by 90%. Read more about how -
Anomaly Detection Fundamentals for Securing IoT Networks
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Understanding anomaly detection is key to securing IoT networks. Explore the fundamentals: https://
buff.ly/4evr0lk #sponsored #influxdata_iiot #IoT #AnomalyDetection @TylerCohenWood @SecureIoTGuy via @fogoros -
Apple Continues Google Cloud Platform Use for AI Training
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Apple is clearly still using Google Cloud per this @kifleswing report on TPUs. we reported on Apple's use of GCP for iCloud in 2018 https://
cnbc.com/2024/07/29/app
le-says-its-ai-models-were-trained-on-googles-custom-chips-.html
… https://
cnbc.com/2018/02/26/app
le-confirms-it-uses-google-cloud-for-icloud.html
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Distilabel for Synthetic Data Generation: Real Use Case
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I actually talk about a "real" use case in my book. For synthetic data generation, I recommend checking distilabel by @argilla_io
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Industrial IoT Data Modeling Best Practices Guide
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Enhance your industrial IoT systems with effective data modeling! This article highlights essential practices and pitfalls to avoid for optimal performance. Discover more: https://
buff.ly/3VGtZjt #sponsored #highbyte_iiot #DataModeling #Innovation #Industry40 @DiegoTamburini -
MNP Leverages Databricks GenAI for Market Leadership
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MNP, a leading Canadian professional services firm, wanted to strengthen its market leadership with GenAI. See how they leveraged Databricks to support the integration of LLMs and provide contextualized insights to their clients https://
dbricks.co/3LI6XTS