NOV. 13th COLLOQUIUM: Sheldon Katz (University of Illinois at Urbana-Champaign)
math.columbia.edu·4h
💾information theory
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Essential Chunking Techniques for Building Better LLM Applications
machinelearningmastery.com·7h
🔗Parser Combinators
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How I Leverage LLMs
🪄Magit
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Show HN: ReadMyMRI DICOM native preprocessor with multi model consensus/ML pipes
🪄Magit
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Fast Answering Pattern-Constrained Reachability Queries with Two-Dimensional Reachability Index
arxiv.org·2d
🌲Persistent Data Structures
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Dynamic Freight Route Optimization via Multi-Agent Reinforcement Learning with Adaptive Risk Aversion
🗺️Flight Management Systems
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Jules + Gemini CLI: The AI Combo That Actually 10x’s Your Productivity
pub.towardsai.net·14h
🪄Magit
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Scaling Coding-Agent RL to 32x H100s. 160% Improvement on Stanford's TBench
🐤Canary Deployment
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How Fast Can Germany Shift To Software-Defined Vehicles?
semiengineering.com·10h
⚡lean product development
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Decoupling Augmentation Bias in Prompt Learning for Vision-Language Models
arxiv.org·13h
⛓️MCMC
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Deep Value Benchmark: Measuring Whether Models Generalize Deep values or Shallow Preferences
arxiv.org·1d
🎲Property-Based Testing
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TabGemma: Text-Based Tabular ICL via LLM using Continued Pretraining and Retrieval
arxiv.org·13h
🔗Parser Combinators
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