From Lists to Structured Data: A Transformation Guide
haarisekou200207.webbuzzfeed.com·1d
🏗️Data Modeling
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Adapting Self-Supervised Representations as a Latent Space for Efficient Generation
machinelearning.apple.com·2d
🔀Procedural Generation
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How do you handle the Cold Start Problem for a semantic knowledge graph? (TF-IDF vs. Fine-Tuned BERT)
calyxbhavi.streamlit.app·11h·
Discuss: DEV
🕸️Knowledge Graphs
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Pain Points of OCaml
quamserena.com·1d·
🦀Rust Macros
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Parallel achieves 70% accuracy on SEAL, benchmark for hard web research
parallel.ai·1d·
Discuss: Hacker News
🚀Performance
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Atomically accurate de novo design of antibodies with RFdiffusion
nature.com·8h·
Discuss: Hacker News
🎭Program Synthesis
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Porting Lean to the ESP32-C3 RISC-V Microcontroller
kuruczgy.com·1d·
⚙️Systems Programming
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Sorting by Strip Swaps is NP-Hard
arxiv.org·1d
Quicksort
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AraFinNews: Arabic Financial Summarisation with Domain-Adapted LLMs
arxiv.org·1d
🌳Tree-sitter
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A brief guide for those who slept (on AI) the last two years
github.com·10h·
Discuss: DEV
💬Prompt Engineering
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When numbers lie: the Java equality bug every dev hits at least once
dev.to·1d·
Discuss: DEV
🏷️Memory Tagging
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A Privacy-First AI Voice Cloning Tool with Local LLMs
dev.to·22h·
Discuss: DEV
📚Technical Writing
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A brief guide for those who slept (on AI) the last two years
dev.to·10h·
Discuss: DEV
💬Prompt Engineering
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A new language for COBOL workloads, built on GO!
dev.to·5h·
Discuss: DEV
🐹golang
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Multi-refined Feature Enhanced Sentiment Analysis Using Contextual Instruction
arxiv.org·1d
💬Natural Language Processing
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Ariadne: A Controllable Framework for Probing and Extending VLM Reasoning Boundaries
arxiv.org·1d
🧮SMT Solvers
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Understanding New-Knowledge-Induced Factual Hallucinations in LLMs: Analysis, Solution, and Interpretation
arxiv.org·21h
💫Effect Systems
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Autark: Rethinking build systems – Integrate, Don’t Outsource
dev.to·18h·
Discuss: DEV
🏗️Build Systems
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When One Modality Sabotages the Others: A Diagnostic Lens on Multimodal Reasoning
arxiv.org·21h
🚀MLOps
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Writing an LLM from scratch, part 27 – what's left, and what's next?
gilesthomas.com·2d·
Discuss: Hacker News
💬Prompt Engineering
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