Look! >> @PureStorage is making available this 84-page analyst report from @OReillyMedia : "Understanding Log #Analytics at Scale" at https://
purefla.sh/41O0Qn9 #purestorage #BigData #StorageMatters
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This overview of log analytics will cover:
◉ What is log analytics?
◉ Why is
COMPUTING
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Understanding Log Analytics at Scale with Pure Storage
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ChromaDB Self-Querying Retriever with LLM Integration
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ChromaDB Self-Querying Retriever Last week we introduced the self-querying retriever Basic idea is to use an LLM to turn a user query into a "query" and a "filter" We now implemented to work with @trychroma
! Docs: https://
github.com/hwchase17/lang
chain/blob/master/docs/modules/indexes/retrievers/examples/chroma_self_query_retriever.ipynb
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Dr. Sahin Defends Ph.D. on Learning Control Systems
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So proud of Dr. @SahinLale for his successful Ph.D. defense on "learning and control". He has derived regret guarantees for partially observed systems and deployed them on turbulent airfoil stabilization. His slides: http://
tensorlab.cms.caltech.edu/users/anima/sl
ides/sahin_defense_slides.pptx
… @caltech -
Productivity in Engineering and Technology Innovation
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What Is Productivity? https://
mckinsey.com/featured-insig
hts/mckinsey-explainers/what-is-productivity
… @ASMEdotorg @3DSNorthAmerica @cyngn @MargaretSiegien @3DSdelmia @3DStherese @Cindybolt61 @fogoros @DrFerdowsi @CRudinschi @PawlowskiMario @IIoT_World @MEngineeringMag #Science #Engineering #Technology #SET -
JAX Omission Raises Questions About AI Training Technology Strategy
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There’s no mention of JAX. That was a little weird as they own an extremely powerful next-generation training technology in the same way they owned TensorFlow at first.
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Andrew Ling to Discuss LLM Architecture Choices at FCCM Panel
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Tune in on May 10 to hear Andrew Ling, PhD, Sr. Director, Software Engineering & ML Compiler participate in a FCCM panel about architecture choice for training and inference markets for Large Language Models (LLMs). Learn more at https://
fccm.org/panel-2023/ -
Free Stanford CS246 Course: Mining Massive Datasets PDF and Slides
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Download free PDF book (updated 3rd edition) *and* the lecture slides from the Stanford #ComputerScience course CS246: “Mining Massive Datasets” at https://
online.stanford.edu/courses/soe-yc
s0007-mining-massive-data-sets
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#BigData #DataScience #MachineLearning #AI #DataMining #DeepLearning #Algorithms #Mathematics -
Machine Learning Engineering Guide for Real-Time Data Systems
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A Guide to #MachineLearning Engineering for Real-Time Data — Building Intelligent Systems: http://
amzn.to/2C1Ai7r
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#BigData #DataScience #DeepLearning #IoT #IIoT #IoTPL #IoTCL #StreamAnalytics #EdgeComputing #IoTCommunity #Industry40 #AI #Edge #TimeSeries #IntelligentEdge -
SpeechNet: ASR Technology Powers 12M Daily Smart TV Queries
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Are you using speech rec on @comcast devices? You might be using SpeechNet: ASR designed for label-scarce, compute-limited settings using weak supervision, Snorkel, & CUDA graphs. Join @ralph_tang at https://
future.snorkel.ai to learn how daily 12M+ smart TV queries are automated. -
Understanding Distance Metrics and Their Significance in Data Science
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Understanding Distance Metrics and Their Significance: http://
bit.ly/3MCUvUu
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#BigData #DataScience #AI #MachineLearning #Statistics #DataMining #Mathematics #DataLiteracy #DataFluency #DataScientists —————
Graphic by @FrnkNlsn at http://
bit.ly/3Ks666F