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🧮 Datalog Systems

Soufflé, Bottom-up Evaluation, Graph Queries, Logic Programming

Mechanistic View of Transformers: Patterns, Messages, Residual Stream… and LSTMs
towardsdatascience.com·1h
🌊Streaming Algorithms
original ↗
dotat.at·1d·
Discuss: Lobsters, Hacker News, r/programming
🌳Trie Structures
Big O vs Hardware: Better Complexity ≠ Better Performance
blog.codingconfessions.com·1d·
Discuss: Hacker News
🔢Bitwise Algorithms
Using Dspy to Detect Document Boundaries
kmad.ai·2d·
Discuss: Hacker News
📄Document Digitization
Real Life Is Uncertain. Consensus Should Be Too
muratbuffalo.blogspot.com·3h·
Discuss: Hacker News
🤝Paxos Consensus
How to Create Unbreakable Job Security: A Software Developer's Guide to Making Yourself Indispensable
getparthenon.com·1d·
Discuss: Hacker News, r/programming
💾Persistence Strategies
5 Routine Tasks That ChatGPT Can Handle for Data Scientists
kdnuggets.com·1d
🌊Stream Processing
Show HN: Elf0 – Build and run AI agent workflows in YAML (CLI)
elf0.com·33m·
Discuss: Hacker News
👑Isabelle
Adrarsh Divakaran: Vibe Coding with Junie - JetBrains AI Coding Agent
blog.adarshd.dev·4h
🎙️Whisper
A Message Passing Realization of Expected Free Energy Minimization
arxiv.org·13h
🔲Cellular Automata
Quantum-RAG and PunGPT2: Advancing Low-Resource Language Generation and Retrieval for the Punjabi Language
arxiv.org·13h
🌀Brotli Internals
MOPrompt: Multi-objective Semantic Evolution for Prompt Optimization
arxiv.org·13h
📝Concrete Syntax
KCR: Resolving Long-Context Knowledge Conflicts via Reasoning in LLMs
arxiv.org·13h
🧮Theorem Proving
Kimi K2 vs Grok 4: Which AI Model Codes Better?
dev.to·3h·
Discuss: DEV
🧠Intelligence Compression
Understanding Decision Trees
dev.to·16h·
Discuss: DEV
🌳Huffman Trees
Kernel-Based Sparse Additive Nonlinear Model Structure Detection through a Linearization Approach
arxiv.org·13h
🧠Machine Learning
Proactive Disentangled Modeling of Trigger-Object Pairings for Backdoor Defense
arxiv.org·13h
🕵️Vector Smuggling
Fusion Sampling Validation in Data Partitioning for Machine Learning
arxiv.org·13h
🧠Machine Learning
O3 Series vs Claude 4: Which is Better
dev.to·1h·
Discuss: DEV
🖥️Modern Terminals
From EMR Data to Clinical Insight: An LLM-Driven Framework for Automated Pre-Consultation Questionnaire Generation
arxiv.org·1d
🔗Constraint Handling
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