Feature Stores 2.0: The Next Frontier of Scalable Data Engineering for AI
hackernoon.com·1d
🎨Design Systems
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Ruby and Its Neighbors: Smalltalk
💎Refinement Types
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Composing and Decomposing AI Functions (Tutorial with Python Examples)
🎭Program Synthesis
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are-dependent-types-actually-erased
🔗Dependent Types
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Measuring Aleatoric and Epistemic Uncertainty in LLMs: Empirical Evaluation on ID and OOD QA Tasks
arxiv.org·1h
🐛Fuzzing
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DecompSR: A dataset for decomposed analyses of compositional multihop spatial reasoning
arxiv.org·1d
🌳Tree-sitter
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BengaliMoralBench: A Benchmark for Auditing Moral Reasoning in Large Language Models within Bengali Language and Culture
arxiv.org·1h
📝Parsing
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Run LLMs Locally
🚀Performance
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Large Language Models as Information Sources: Distinctive Characteristics and Types of Low-Quality Information
arxiv.org·1h
💬Natural Language Processing
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From Five Dimensions to Many: Large Language Models as Precise and Interpretable Psychological Profilers
arxiv.org·1h
💬Natural Language Processing
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Disciplined Biconvex Programming
arxiv.org·2d
📊Dynamic Programming
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Shrinking the Variance: Shrinkage Baselines for Reinforcement Learning with Verifiable Rewards
arxiv.org·1h
🎯Reinforcement Learning
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Hyper Hawkes Processes: Interpretable Models of Marked Temporal Point Processes
arxiv.org·2d
📊Dynamic Programming
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Readable Code Is Unreadable
🏭Code Generation
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Redundancy Maximization as a Principle of Associative Memory Learning
arxiv.org·1d
📊Dynamic Programming
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