Reasoning with Sampling: Your Base Model Is Smarter Than You Think
aakaran.github.io·6d·
Discuss: Hacker News
📊Approximate Computing
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A Magical Studies Research Report on Paxos
dev.to·10h·
Discuss: DEV
🌐Distributed Systems
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Epstein-Docs.github.io
github.com·1d·
Discuss: Hacker News
📋CSV Processing
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KoTaP: A Panel Dataset for Corporate Tax Avoidance, Performance, and Governance in Korea
arxiv.org·5d
📋Tokei
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Systematizing LLM Persona Design: A Four-Quadrant Technical Taxonomy for AI Companion Applications
arxiv.org·6d
🔍AI Detection
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MimiTalk: Revolutionizing Qualitative Research with Dual-Agent AI
arxiv.org·5d
🔍AI Detection
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Designing Mental-Health Chatbots for Indian Adolescents: Mixed-Methods Evidence, a Boundary-Object Lens, and a Design-Tensions Framework
arxiv.org·17h
📉data visualisation
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Unlocking Out-of-Distribution Generalization in Transformers via RecursiveLatent Space Reasoning
paperium.net·4d·
Discuss: DEV
📊Columnar Engines
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MCP-RiskCue: Can LLM infer risk information from MCP server System Logs?
arxiv.org·1d
🛡️Memory Safety
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Tokens: The Invisible Building Blocks of Large Language Models
dev.to·3d·
Discuss: DEV
🤖AI
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Super Memory AI: From Basics to Advanced Implementation
dev.to·15h·
Discuss: DEV
🛡️Memory Safety
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Unlock Your Simulations: Automated Parameter Tuning for Complex Models by Arvind Sundararajan
dev.to·1d·
Discuss: DEV
🧬Optimization Algorithms
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Running high-scale reinforcement learning (RL) for LLMs on GKE
cloud.google.com·2d
🎮Reinforcement Learning
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BARD10: A New Benchmark Reveals Significance of Bangla Stop-Words in Authorship Attribution
arxiv.org·17h
🔍AI Detection
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Deploying ML Models to Production: AWS Lambda vs ECS vs EKS - A Data-Driven Comparison
dev.to·1d·
Discuss: DEV
📊AWS Analytics
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Inside My AI Workflow: How I Get Real Work Done With Prompts
dev.to·4d·
Discuss: DEV
⌨️Text Editors
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Streamlining IT Operations with AI-powered CMDB in ServiceNow
dev.to·1d·
Discuss: DEV
🔍AI Detection
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Robust Causal Discovery under Imperfect Structural Constraints
arxiv.org·1d
🧭Vector Databases
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NestJS Week 2: Exception Filters, Query Params, and Why You Should Stop Using Try-Catch Everywhere
dev.to·1d·
Discuss: DEV
📋CSV Processing
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The Online Patch Redundancy Eliminator (OPRE): A novel approach to online agnostic continual learning using dataset compression
arxiv.org·17h
🗜️Compression Algorithms
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