Z3, CVC5, Satisfiability, Constraint Solving, Automated Reasoning

A Practitioner's Guide to Kolmogorov-Arnold Networks
arxiviq.substack.com·3d·
Discuss: Substack
📱Edge AI
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Atomically accurate de novo design of antibodies with RFdiffusion
nature.com·1d·
Discuss: Hacker News
🎭Program Synthesis
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Composer-1 vs SWE-1.5: A detailed Comparison
dev.to·1d·
Discuss: DEV
🎮Game Engines
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Oolong: Evaluating Long Context Reasoning and Aggregation Capabilities
arxiv.org·1d
🌳Tree-sitter
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Engineering.ai: A Platform for Teams of AI Engineers in Computational Design
arxiv.org·2d
🎭Program Synthesis
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Automated REST API Anomaly Detection via Graph Neural Network-Driven Causal Inference
dev.to·23h·
Discuss: DEV
📱Edge AI
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Model Predictive Control with Multiple Constraint Horizons
arxiv.org·1d
📊Dynamic Programming
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Personal Standard Library - Generic and Type-Safe Containers
reddit.com·1d·
📏Linear Types
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Writing an LLM from scratch, part 26 – evaluating the fine-tuned model
gilesthomas.com·2d·
Discuss: Hacker News
⚙️JIT Compilation
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When numbers lie: the Java equality bug every dev hits at least once
dev.to·1d·
Discuss: DEV
🏷️Memory Tagging
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About AI and context
dev.to·1d·
Discuss: DEV
💬Prompt Engineering
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The Unseen Architecture of Python: Mastering Environments, Typing, and Memory
dev.to·21h·
Discuss: DEV
🐍Python
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Observer-based neural networks for flow estimation and control
arxiv.org·12h
🔥PyTorch
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Decoupled Entropy Minimization
arxiv.org·12h
📊Information Theory
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Explaining Human Choice Probabilities with Simple Vector Representations
arxiv.org·12h
🎯Reinforcement Learning
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Language-Enhanced Generative Modeling for PET Synthesis from MRI and Blood Biomarkers
arxiv.org·1d
🔥PyTorch
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SAIL-RL: Guiding MLLMs in When and How to Think via Dual-Reward RL Tuning
arxiv.org·1d
💬Prompt Engineering
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