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James Cameron's 'Avatar: Fire and Ash' Has An Official Runtime of 3 Hours & 15 Minutes - The Longest Movie in the Series So Far
sacnilk.com·12h·
Discuss: r/movies
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Picture Parlour — The Parlour
diymag.com·17h
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Show HN: SlugMatch – Match Students to Residential Colleges
slugmatch.com·4h·
Discuss: Hacker News
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Arc Raiders' North Line update brings its first global community event, and it's time to start emptying out those stashes - PCGamesN
news.google.com·11h
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🚀 TanStack DB 0.5 is here with Query-Driven Sync
threadreaderapp.com·9h
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The Three Ages of Data Science: When to Use Traditional Machine Learning, Deep Learning, or an LLM (Explained with One Example)
towardsdatascience.com·1d
⚙Data engineering
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Building Versioning for AI-Generated Apps
neon.com·8h
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AI for Data Analytics – Everything you need to know
exasol.com·1d·
Discuss: Hacker News
⚙Data engineering
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Towers of Pen: puzzle experiences that zoom out and out
blog.zarfhome.com·7h
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In Hindsight - Sooo Comfy!
reddit.com·11h·
Discuss: r/ValveIndex
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From Zero to LLMOps Hero: Your 101 Guide to Running LLMs in Production
analyticsvidhya.com·2d
⚙Data engineering
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[Followup] Qwen3 VL 30b a3b is pure love (or not so much)
reddit.com·6h·
Discuss: r/LocalLLaMA
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🚀 Today I Solved: Find the Largest/Smallest Subarray with Sum = K
dev.to·20h·
Discuss: DEV
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Avatar Identity Drift Mitigation via Multi-Modal Behavioral Alignment
dev.to·1d·
Discuss: DEV
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Getting Data from Other Sources Using Tableau
dev.to·7h·
Discuss: DEV
⚙Data engineering
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NOTAM-Evolve: A Knowledge-Guided Self-Evolving Optimization Framework with LLMs for NOTAM Interpretation
arxiv.org·20h
⚙Data engineering
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DiffRegCD: Integrated Registration and Change Detection with Diffusion Features
arxiv.org·20h
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Large Language Models for Scientific Idea Generation: A Creativity-Centered Survey
arxiv.org·20h
⚙Data engineering
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We built a 4-dimension framework for LLM evaluation after watching 3 companies fail at model selection
reddit.com·10h·
Discuss: r/LLM
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AI-Driven Contribution Evaluation and Conflict Resolution: A Framework & Design for Group Workload Investigation
arxiv.org·20h
⚙Data engineering
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