Exactly. That's a big problem in context with the data
DATA
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Industrial Data Management Foundation for Digital Transformation
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No AI. No Edge. No Copilots…
Without clean, structured industrial data.
Sebastián Trolli highlights why data management is the unsung hero of digital transformation. Read more: https://
buff.ly/unGOVbV #frost_iiot #IndustrialData #IIoT #SmartManufacturing @jblefevre60 -
GSM1K shows test set leakage; search enables instant leaks
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This (+ normal, old-fashioned leakage) is pretty much the whole argument for Scale’s semi-private benchmarks. E.g. GSM1K was made to show leakage from GSM8K test. In theory search makes all test sets insta-leak even if in practice we aren’t quite there.
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Digital Factory Transformation: Beyond Excel on Shop Floors
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Still Using Excel on the Shop Floor? Why That’s Costing You More Than You Think https://
buff.ly/leep0xi #sponsored #criticalmfg_iiot #MES #IIoT #DigitalFactory @IIoT_World -
AI for Scientific Research: Comprehensive Survey Overview
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AI4Research: A Survey of Artificial Intelligence for Scientific Research Chen et al.: https://
arxiv.org/abs/2507.01903 #ArtificialIntelligence #DeepLearning #MachineLearning -
Digital Ownership Rights: Who Owns Visual Data?
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is it your birthright to own the photons and electrons bouncing off anything you touch
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Building on LLMs: RAG, Fine-tuning, Personalization Essentials
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How to Really Build on Top of LLMs (full training session) Personalization, databases, retrieval (RAG, CAG), frameworks, fine-tuning… We will discuss… Some theory for the essentials
LLM limitations
Context window
Knowledge issues
Embeddings + encoders
Long context
RAG
Data, -
Mathematical Definitions in Data Science
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Mathematical definitions in data science. Thanks for putting this together!