Learn about #InsightsDiscovery, #KnowledgeManagement, and Insights Integration across all Enterprise business information/data assets in the @Mindbreeze Podcast series: https://
inspire.mindbreeze.com/podcast?ls=22
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#Semantic #BigData #AI #DataStrategy #KnowledgeGraph #Knowledgebase #LinkedData
MACHINE LEARNING
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Insights Discovery and Knowledge Management in Enterprise Data Assets
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Rodney Brooks Final Lecture Berkeley AI Series
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The final talk in the Berkeley AI lecture series is today by @rodneyabrooks , another highly anticipated lecture you won’t want to miss!
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Data Warehouse Optimization in Datalakehouse Strategy for Analytics
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Enterprises are attempting to find a balance between high performance and cost-effectiveness for their #analytics and #AI workloads.
— IBM Data, AI & Automation (@IBMData) 28 avril 2023
Learn more about why data warehouse optimization is a key value of a #datalakehouse strategy: https://t.co/qfh50yVdGF pic.twitter.com/drfTyExShQEnterprises are attempting to find a balance between high performance and cost-effectiveness for their #analytics and #AI workloads. Learn more about why data warehouse optimization is a key value of a #datalakehouse strategy: https://
ibm.co/3VgV7Ut -
DataPerf Benchmarks Improve ML Model Quality Standards
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Data cascades and model quality saturation can occur without good benchmarking, stalling innovation. MLPerf training benchmarks have shown a remarkable improvement in performance over the past few years. @profvjreddi
, @Harvard
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Abacus AI Vector Matching Engine for Fast Embedding Searches
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The @abacusai Vector Matching Engine performs searches on large amounts of vector embeddings in milliseconds. Train embeddings on any text, images or documents using #DeepLearning models. Given a vector, query for vectors similar to one in the query, https://
abacus.ai/vectormatching #AI -
Mindbreeze Enables Automated Insights Discovery Across Digital Assets
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Enabling Information to be your org's greatest asset is the goal of @Mindbreeze
. Learn what that means & how the #InsightsDiscovery process can be automated for efficient discovery of insights across all digital assets in your business: https://
inspire.mindbreeze.com/blog/allowing-
information-to-be-your-greatest-asset?ls=22
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#AI #BigData #ML -
Closing ML Investment Gap: Data-Centric AI ROI Strategy
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Explore the gap between massive #MachineLearning investments & elusive ROI ! Join The Future of Data-Centric AI conf on June 8th to learn from Max Williams, @wellsfargo
, how to unlock AI's full potential across your organizations . Sign up today: https://
future.snorkel.ai -
Charformer: Google AI’s Popular Research Project Launch
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@vqctran charformer yay! was one of the funnest project at @GoogleAI that got launched a disproportionate amount of times compared to our other papers lol.
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Doubling Model Parameters Without Increased Compute Cost
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~2 x the parameters for the same compute cost. Basically free model sparsity (sparse w.r.t to enc/dec blocks).
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Encoder-Decoder vs Decoder: Clarifying AI Architecture Misconceptions
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So many misconceptions about architectures (esp encoder-decoder vs decoder) partially due to nomenclature being confusing. – EncDec, PrefixLMs, Causal Dec-onlys are *all* autoregressive. Even T5/UL2's objective is autoregressive. – All 3 archs are not that different. People