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The Transformer Architecture: A Deep Dive into How LLMs Actually Work
dev.to·4h·
Discuss: DEV
📝NLP
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Climate Monitoring Search Engine: Multi-Vectors in Qdrant
pub.towardsai.net
·4d
🧲Vector Search & Embeddings
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Book Review: Why Machines Learn
philippdubach.com·1d·
Discuss: Hacker News
🔢Embeddings
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Built a local vector database for RAG that handles datasets bigger than RAM
github.com·2d·
Discuss: r/LocalLLaMA, r/selfhosted
🗄️Databases
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Turning images into structured signals for modern search
visualquerypro.com·1h·
Discuss: Hacker News
📸Visual Regression Testing
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Deep Convolutional Networks on Graph-Structured Data
paperium.net·2d·
Discuss: DEV
🔢Embeddings
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wwes4/AI_Accel_1.5x: AI acceleration framework for ~1.5x speedups in mid-sized models via tension-based pruning. Built utilizing xAI's Grok.
github.com·1d·
Discuss: Hacker News
📉Model Quantization
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I wrote an interactive blog post teaching how tokenization, embeddings, and vector search work in-browser with Transformers.js
mike.dev·5d·
Discuss: r/LocalLLaMA
🔢Embeddings
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Pandas vs Polars: Why the 2025 Evolution Changes Everything
dev.to·9h·
Discuss: DEV
📓Jupyter Notebooks
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TRUNAJOD: A text complexity library for text analysis built on spaCy — TRUNAJOD 0.1.1 documentation
trunajod20.readthedocs.io·9h
📝NLP
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Treating Functions as Vectors in Hilbert Space
hackaday.com·1d
🔢Embeddings
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You Do NOT need augmentations to train your Classifiers!!
dev.to·10h·
Discuss: DEV
🧲Vector Search & Embeddings
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Machine Learning Ecosystem in PHP
dev.to·2d·
Discuss: DEV
📱Edge AI
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Introducing the XLab AI Security Guide
lesswrong.com·7h
🛡️AI Security
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I Built a Video Search Engine That Understands What You're Looking For
dev.to·1d·
Discuss: DEV
🧲Vector Search & Embeddings
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TOON for LLMs: A Comparative Performance Analysis against JSON
gist.github.com·8h·
Discuss: DEV
💬Prompt Engineering
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The 2025 Guide to Machine Learning
ibm.com·1d·
Discuss: Hacker News
📱Edge AI
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Optimizing Text Search: A Novel Pattern Matching Algorithm Based on Ukkonen's Approach
arxiv.org·5d
🌸Bloom Filters
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Pokémon Team Optimization
nchagnet.pages.dev·2d·
Discuss: Hacker News
🔧DSPy
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Self-Supervised Temporal Pattern Mining for circular manufacturing supply chains with embodied agent feedback loops
dev.to·2h·
Discuss: DEV
🔁System Thinking
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