If these 10 words are part of your vocabulary, you have above-average intelligence
artfulparent.comΒ·1h
πŸ“NLP
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The Making of Autism Simulator: 60k Visitors in 12 Hours
blog.drjoshcsimmons.comΒ·1dΒ·
Discuss: Hacker News
πŸ“NLP
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ByteDance unveils China’s most affordable AI coding agent at just US$1.30 a month
scmp.comΒ·1dΒ·
πŸ“‹Contract AI
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Hardware is the New Salt: AI and the Human-Centered World of Product Design
core77.comΒ·1d
πŸ“‹Contract AI
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Create Your First MCP Tool: The readFile Tool Explained
dev.toΒ·1dΒ·
Discuss: DEV
πŸ“NLP
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Simulating Clifford Circuits with Gaussian Elimination
arxiv.orgΒ·1d
🎯Vector Search
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DynaAct: Large Language Model Reasoning with Dynamic Action Spaces
arxiv.orgΒ·20h
🧠RAG
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UltraCUA: A Foundation Model for Computer Use Agents with Hybrid Action
dev.toΒ·2dΒ·
Discuss: DEV
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Artificial intelligence and the Gulf Cooperation Council workforce adapting to the future of work
arxiv.orgΒ·1d
πŸ“‹Contract AI
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TriShGAN: Enhancing Sparsity and Robustness in Multivariate Time Series Counterfactuals Explanation
arxiv.orgΒ·1d
🧠RAG
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I Need help/Tips
reddit.comΒ·1dΒ·
πŸ“NLP
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How AI and Code Optimization Work Together to Boost Your Website’s Performance
dev.toΒ·2dΒ·
Discuss: DEV
πŸ“„Document AI
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Seeing Shapes: Unveiling Neural Network Vision with Fourier Geometry by Arvind Sundararajan
dev.toΒ·2dΒ·
Discuss: DEV
🎯Vector Search
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PixelPal: My First Production-Ready AI Project
dev.toΒ·2dΒ·
Discuss: DEV
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High-Throughput Membrane Reactor Optimization via Hybrid Bayesian-Genetic Algorithm
dev.toΒ·1dΒ·
Discuss: DEV
πŸ“„Document AI
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Consistency Is Not Always Correct: Towards Understanding the Role of Exploration in Post-Training Reasoning
arxiv.orgΒ·1d
🎯Vector Search
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Beyond the Basics: 5 Advanced Prompting Strategies that Turn LLMs into Autonomous Agents (Prompt Engineering for Devs - Part 3)
dev.toΒ·2dΒ·
Discuss: DEV
πŸ“NLP
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FoCLIP: A Feature-Space Misalignment Framework for CLIP-Based Image Manipulation and Detection
arxiv.orgΒ·1d
🎯Vector Search
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Provable Benefit of Curriculum in Transformer Tree-Reasoning Post-Training
arxiv.orgΒ·1d
🧠RAG
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Information Capacity: Evaluating the Efficiency of Large Language Models via Text Compression
arxiv.orgΒ·20h
πŸ“NLP
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