Vector Representations, Semantic Space, Neural Networks, Dimensionality Reduction

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The Transformer Architecture: A Deep Dive into How LLMs Actually Work
dev.to·6h·
Discuss: DEV
📝Parsing
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How to Train Ultralytics YOLOv8 models on Your Custom Dataset | 196 classes
reddit.com·9h·
Discuss: r/programming
🤖TVM
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Treating Functions as Vectors in Hilbert Space
hackaday.com·1d
📐Linear Algebra
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Deep Kronecker Network
arxiv.org·2d
🧮Intel MKL-DNN
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Regression by Composition
lesswrong.com·1d
🧠Machine Learning
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Courses with certificates
codefinity.com·19h
🤖TVM
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Tour de Language Modeling: Part 1
conda.bearblog.dev·4d
🤖Transformers
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The Machine Learning “Advent Calendar” Day 22: Embeddings in Excel
towardsdatascience.com·5d
🎯Vector Search
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Deep Graph Contrastive Representation Learning
paperium.net·1h·
Discuss: DEV
🎨Chroma
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Book Review: Why Machines Learn
philippdubach.com·1d·
Discuss: Hacker News
💬Prompt Engineering
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Unifying Visual-Semantic Embeddings with Multimodal Neural Language Models
dev.to·23h·
Discuss: DEV
🎨Chroma
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Rodgers, Steelers could clinch AFC North before Browns game
bradfordera.com·1d
Gleam
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Stanford CS 224N | Natural Language Processing with Deep Learning
web.stanford.edu·1d
📝NLP
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Natural language processing for word sense disambiguation and information extraction
arxiv.org·18h·
Discuss: r/compsci
💬Natural Language Processing
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The 2025 Guide to Machine Learning
ibm.com·1d·
Discuss: Hacker News
🧠Machine Learning
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Building a Neural Network from scratch
pub.towardsai.net
·2d
📱Edge AI
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3 Smart Ways to Encode Categorical Features for Machine Learning - MachineLearningMastery.com
machinelearningmastery.com·5d
🧠Machine Learning
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The Prism Hypothesis: Harmonizing Semantic and Pixel Representations via Unified Autoencoding
arxiv.org·1d
🎨Chroma
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word2vec Explained: deriving Mikolov et al.'s negative-sampling word-embedding method
paperium.net·2d·
Discuss: DEV
🔍RAG
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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
🎨Chroma
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