Sigh, I knew I was missing something in the related work. Yes, I was aware of this nice work by Cecilia, Shufan, and Dan — they use the parametric bootstrap for bias correction in private statistics (among other things). Will definitely add this one to the next revision.
DATA
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CAPEX vs OPEX: AI Infrastructure and Data Spending Economics
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maybe if you compare compute CAPEX vs data OPEX, but if you amortize CAPEX then for major players they are similar orders of magnitude data spend will stay high because while # of hrs goes down, specialization will increase $/hr (and model value) & prod models need validation
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Best SQL Cheat Sheet for Data Science and Machine Learning
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Best of #SQL Cheat Sheet #MachineLearning #DataScience #Cybersecurity #BigData #Analytics #AI #IIoT #IoT #5G #Python #RStats #TensorFlow #JavaScript #ReactJS #FutureOfWork #DataScientist #Linux #Programming #100DaysofCode #NodeJS #golang #NLP #GitHub #MWC23 #SDGs #MLOps
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Databricks Launches SQL Functions for Lakehouse Migration
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We’re committed to making it as easy as possible to migrate your #data warehousing workloads to #Lakehouse That’s why we've launched dozens of new built-in functions into the core ANSI-compliant Standard #SQL dialect. Take a look! https://
dbricks.co/3H5ebyr -
Compute spending will vastly outpace data investment
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do you really think? im pretty sure we will outspend on compute by a _huge_ margin, and at least for companies like openai data spend will go down as models get smarter. curious if i am missing something!
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Activation Compression for Model Parallel Training
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(9/12) Does compressing activations help model parallel training?
Authors: @bian_song
, @DachengLi177
, Hongyi Wang, @ericxing
, Shivaram Venkataraman -
CiT: Data Curation Methods for Vision-Language Model Training
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(5/12) CiT: Curation in Training for Effective Vision-Language Data
Authors: Hu Xu, @sainingxie
, Po-Yao Huang, @Licheng_Yu
, Russell Howes, Gargi Ghosh, Luke Zettlemoyer, @cfeichtenhofer -
Python Debugging Cheat Sheet for Machine Learning and Data Science
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#Python Debugging Cheat Sheet #DeepLearning #MachineLearning #ArtificialIntelligence #DataScience #Cybersecurity #BigData #Analytics #AI #IIoT #IoT #5G #RStats #JavaScript #ReactJS #FutureOfWork #CES2023 #DataScientist #Linux #MWC23 #Programming #100DaysofCode #NLP #SDGs #Tech
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Observability in Tech Networks with SolarWinds CMO
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It's #observability in #tech & #networks !
With @solarwinds #CMO Nik Koutsoukos https://
youtu.be/uQ7n8RURrdY @YouTube @techradiottt @bimedotcom @gvalan #AI #IoT #5G #Security @CurieuxExplorer #100DaysOfCode #CyberSecurity #data @Nicochan33 @BevEve #Analytics #IIoT @BetaMoroney -
Trade-off Optimization Using Higher Order Distribution Moments
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Yes! The trade-off gets better if you have more moments for the underlying distribution (versus just a variance). We have the theorem in the paper.