Fluent Visitors: revisiting a classic design pattern
neilmadden.blog·8h
🧠Neuromorphic Hardware
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Today’s NYT ‘Pips’ Solutions And Walkthrough (Wednesday November 5)
forbes.com·6h
💾Microcontrollers
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Jeff Su: 4 Next-Level ChatGPT Techniques (Save 15+ Hours Weekly)
youtube.com·15h·
Discuss: DEV
🔄Meta-Learning
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Continuous Autoregressive Language Models
shaochenze.github.io·2h·
Discuss: Hacker News
🎯Predictive Coding
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Benchmarking Generative AI Against Bayesian Optimization for Constrained Multi-Objective Inverse Design
arxiv.org·1d
🔄Meta-Learning
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Cells, Queries, and Chaos: The Game of Life in SQL!
dev.to·2d·
Discuss: DEV
🧠Neuromorphic Hardware
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Automated Discovery of Conservation Laws via Hybrid Neural ODE-Transformers
arxiv.org·1d
🦑Soft Robotics
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LLM-Centric RAG with Multi-Granular Indexing and Confidence Constraints
arxiv.org·2d
🤖Machine Learning
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Understanding New-Knowledge-Induced Factual Hallucinations in LLMs: Analysis, Solution, and Interpretation
arxiv.org·33m
🧠Neuroscience
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Tetris: An SLA-aware Application Placement Strategy in the Edge-Cloud Continuum
arxiv.org·1d
🕸Mesh Networking
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Fuzzy Soft Set Theory based Expert System for the Risk Assessment in Breast Cancer Patients
arxiv.org·33m
〰️Wavelet Analysis
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Merging Continual Pretraining Models for Domain-Specialized LLMs: A Case Study in Finance
arxiv.org·33m
🎯Predictive Coding
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10 AI Coding Patterns That'll Make You Look Like a Wizard 🧙‍♂️
dev.to·7h·
Discuss: DEV
🧭Axon Guidance
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New comment by xfalcox in "The Case Against PGVector"
github.com·1d·
Discuss: Hacker News
🎯Predictive Coding
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Teaching AI to Take Initiative – Building a Self-Thinking App with LangGraph and Ollama
dev.to·12h·
Discuss: DEV
🤖Machine Learning
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FairAIED: Navigating Fairness, Bias, and Ethics in Educational AI Applications
arxiv.org·1d
🤖Machine Learning
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I Got Tired of Deceptive Casino Bonuses, So I Built a "Truth Calculator" with Vanilla JavaScript. Here's How You Can Too.
dev.to·12h·
Discuss: DEV
🔒Cybersecurity
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Efficiency vs. Alignment: Investigating Safety and Fairness Risks in Parameter-Efficient Fine-Tuning of LLMs
arxiv.org·1d
🔄Meta-Learning
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