Twitter/X Scraper: The Complete Data Extraction Solution for Modern Digital Intelligence
t.meΒ·4dΒ·
Discuss: DEV
πŸ“‘Content Syndication
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Show HN: Sliprail – A cross-platform launcher with AI and extensions
sliprail.fengcen.ioΒ·4dΒ·
Discuss: Hacker News
🧊Iced
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🧠 How Large Language Models Are Trained (And How They β€œThink”) β€” A Beginner-Friendly Guide
medium.comΒ·1dΒ·
Discuss: DEV
πŸ’¬Prompt Engineering
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Rybbit – The Modern Open Source Google Analytics Replacement
rybbit.comΒ·15hΒ·
Discuss: Hacker News
πŸ“ˆPrometheus
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Mastering Claude Code β€” A Free Open-Source Handbook for Developers
github.comΒ·21hΒ·
Discuss: DEV
🎭Program Synthesis
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Revolutionising Content Management: An Introduction to AEM Business Agents
dev.toΒ·39mΒ·
Discuss: DEV
🎨Design Systems
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Why AI Auto-Highlighting Is the Most Underrated Productivity Tool
dev.toΒ·2dΒ·
Discuss: DEV
⌨️Text Editors
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Unified catalog for Data and AI
dev.toΒ·1dΒ·
Discuss: DEV
⚑ClickHouse
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Open Source: My Path to Better Code
dev.toΒ·8hΒ·
Discuss: DEV
πŸ¦•Deno
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Boosting Predictive Performance on Tabular Data through Data Augmentation with Latent-Space Flow-Based Diffusion
arxiv.orgΒ·2d
πŸŒ€Naiad
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How to Humanize AI-Generated Content the Right Way (Tutorial)
dev.toΒ·1dΒ·
Discuss: DEV
πŸ’¬Natural Language Processing
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ECPv2: Fast, Efficient, and Scalable Global Optimization of Lipschitz Functions
arxiv.orgΒ·2d
πŸ“ŠOptimization
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Learning Triton One Kernel at a Time: Softmax
towardsdatascience.comΒ·1h
⚑Incremental Computation
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The Zero-Bullshit Protocolβ„’ – Hallucination-Proof AI Engineering System: FREE VERSION!
dev.toΒ·1dΒ·
Discuss: DEV
πŸ’¬Prompt Engineering
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Knowledge-Informed Automatic Feature Extraction via Collaborative Large Language Model Agents
arxiv.orgΒ·3d
πŸ“±Edge AI
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TOFA: Training-Free One-Shot Federated Adaptation for Vision-Language Models
arxiv.orgΒ·2d
πŸ“±Edge AI
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MMD-Thinker: Adaptive Multi-Dimensional Thinking for Multimodal Misinformation Detection
arxiv.orgΒ·5d
πŸ€–Transformers
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PersonaDrift: A Benchmark for Temporal Anomaly Detection in Language-Based Dementia Monitoring
arxiv.orgΒ·2d
πŸ“ˆPrometheus
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TB or Not TB: Coverage-Driven Direct Preference Optimization for Verilog Stimulus Generation
arxiv.orgΒ·2d
πŸ“ŠProfile-Guided Optimization
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Building an impossible Tic-Tac-Toe with Minimax and LemonadeJS
dev.toΒ·22hΒ·
Discuss: DEV
βš“Anchors
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