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·16h·
Discuss: DEV
🕸️Knowledge Graphs
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Pain Points of OCaml
quamserena.com·2d·
🦀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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The Science of AI Internal State Awareness
responseawareness.substack.com·1d·
Discuss: Substack
💬Prompt Engineering
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ML Library Comparison: Burn vs Candle
reddit.com·17h·
Discuss: r/rust
🔥PyTorch
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Understanding New-Knowledge-Induced Factual Hallucinations in LLMs: Analysis, Solution, and Interpretation
arxiv.org·1d
💫Effect Systems
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Disentangled Concepts Speak Louder Than Words:Explainable Video Action Recognition
arxiv.org·2h
🧮Vector Databases
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When One Modality Sabotages the Others: A Diagnostic Lens on Multimodal Reasoning
arxiv.org·1d
🚀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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A Comparative Analysis of LLM Adaptation: SFT, LoRA, and ICL in Data-Scarce Scenarios
arxiv.org·2d
💬Prompt Engineering
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Hybrid Retrieval-Augmented Generation Agent for Trustworthy Legal Question Answering in Judicial Forensics
arxiv.org·2d
🔍RAG
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AI Function Calling: Composing and Decomposing Functions for Complex Tasks
lightcapai.medium.com·1d·
Discuss: Hacker News
FastAPI
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Unlocking the Brain of AI: How Neural Networks Are Changing Everything
dev.to·16h·
Discuss: DEV
📱Edge AI
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Unlocking Logic's Secrets: BoolSkeleton – Streamlining Boolean Networks for Peak Performance by Arvind Sundararajan
dev.to·8h·
Discuss: DEV
🧮SMT Solvers
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Automated Defect Prediction via Cross-Entropy Regularized Graph Neural Networks for Microservice Architectures
dev.to·2d·
Discuss: DEV
📱Edge AI
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