The Kaggle Book — Master Data Analysis and #DataScience Competitions with #MachineLearning, GenAI, and LLMs [2nd Edition]: http://
amzn.to/4pxJpTC v/ @PacktDataML Table of Contents:
Introducing Data Science Competition
Organizing Data with Datasets
Work & Learn with
GENERATIVE AI
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Kaggle Book: Master Data Science with ML and LLMs
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NVIDIA GTC 2026: Jensen Huang Keynote with Industry Leaders
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We’re going live at #NVIDIAGTC in 30 minutes. ⏱️
— NVIDIA (@nvidia) 16 mars 2026
Join us for GTC Live at 8 a.m. PT as we get ready for Jensen Huang's keynote 11 a.m.
Featuring industry leaders from: @bfl_ml, @Cadence, @CaterpillarInc, @cohere, @CoreWeave, @DellTech, @EdisonSci, @FireworksAI_HQ, @IBM,… pic.twitter.com/XM5FfFoTnpWe’re going live at #NVIDIAGTC in 30 minutes. Join us for GTC Live at 8 a.m. PT as we get ready for Jensen Huang's keynote 11 a.m. Featuring industry leaders from: @bfl_ml
, @Cadence
, @CaterpillarInc
, @cohere
, @CoreWeave
, @DellTech
, @EdisonSci
, @FireworksAI_HQ
, @IBM
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Architectural Innovation Over Compute Scale in AI Development
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The fact that throwing more compute at it isn't enough anymore is the real signal here. We might be entering a phase where architectural innovation matters more than scale again! At least, I certainly hope so…
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Exploring Redbubble for LLM Architecture Gallery poster printing
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Also looked into alternative poster print places and also added a Redbubble page (redbubble.com/i/poster/LLM-A…) I am new to this so I don't know which one is better quality-wise. Ordered one from there too so I might be able to tell in a couple of days.
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LatentMorph: AI Image Generators Learn Reasoning Like Humans
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What if AI image generators could truly 'reason' and adapt their creative process, just like humans? Researchers from HKUST, HKUST(GZ), NWPU, and Knowin just unveiled a groundbreaking approach. Their new method, LatentMorph, introduces a novel way for Text-to-Image models to
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LLM Curation Agent Scales Manual Content Moderation Automatically
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Yeah manual curation doesn't scale. The LLM curation agent handles it automatically
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OpenClaw Setup Guide: Stateful Local Memory Configuration
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Detailed set-up guide: https://
byterover.dev/blog/curated-s
tateful-local-memory-for-openclaw?utm_source=sumanth&utm_campaign=openclaw_skill&utm_content=X_0326
… Byterover Skill: -
Mastering PyTorch: Create and Deploy Deep Learning Models
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Mastering PyTorch: Create and deploy deep learning models from CNNs to multimodal models, LLMs, and beyond – http://amzn.to/40IFEQR via @PacktDataML #AI #ML #MachineLearning #DataScience #DataScientist #GenAI
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Attention Residuals: Novel Architecture for Transformer Models
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Attention Residuals Paper: https://
github.com/MoonshotAI/Att
ention-Residuals/blob/master/Attention_Residuals.pdf
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Code: https://
github.com/MoonshotAI/Att
ention-Residuals
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Attention Residuals: Smart Learned Aggregation in Neural Networks
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Huge! @Kimi_Moonshot presents Attention Residuals (AttnRes)! This new technique replaces fixed accumulation in standard residual connections with smart, learned attention over preceding layer outputs, letting models dynamically aggregate information. Their 'Block AttnRes'