🔢 Embeddings

Vector Representations, Semantic Search, Similarity, Text Encoding, Neural Networks

Show HN: I built an edge ML system to detect and classify trick-or-treaters
basecase.vc·1d·
Discuss: Hacker News
🗂️AnnData
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A Thesis and Playbook for Edge AI
ondeviceguy.substack.com·1d·
Discuss: Substack
⛰️Gradient Descent
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Computers Are Getting Much Better at Image Recognition
smithsonianmag.com·1d
🗺️UMAP
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We built a collaboration platform on Claude Code. Here's what we learned.
gbase.ai·4h·
Discuss: r/ClaudeAI
🔲Zarr
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Polish emerges as top language in multilingual AI benchmark testing
ppc.land·2d
⛰️Gradient Descent
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What to Do When Your Credit Risk Model Works Today, but Breaks Six Months Later
towardsdatascience.com·9h
⛰️Gradient Descent
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How We Built a Custom Vision LLM to Improve Document Processing at Grab
engineering.grab.com·1d·
Discuss: Hacker News
🗺️UMAP
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Informatics-Driven Selection of Polymers for Fuel-Cell Applications
arxiv.org·1d
🗺️UMAP
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What's the best approach to memory?
reddit.com·19h·
Discuss: r/LLM
🔲Zarr
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A generative adversarial network optimization method for damage detection and digital twinning by deep AI fault learning: Z24 Bridge structural health monitorin...
arxiv.org·23h
⛰️Gradient Descent
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Latent Domain Prompt Learning for Vision-Language Models
arxiv.org·23h
🗺️UMAP
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Real-time stock volatility prediction with deep learning on a time-series DB
medium.com·20h·
Discuss: Hacker News
🦆DuckDB
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Analyzing Sustainability Messaging in Large-Scale Corporate Social Media
arxiv.org·23h
🔥ComplexHeatmap
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GrowthHacker: Automated Off-Policy Evaluation Optimization Using Code-Modifying LLM Agents
arxiv.org·23h
🗺️UMAP
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Adapting Self-Supervised Representations as a Latent Space for Efficient Generation
machinelearning.apple.com·1d
📦Pseudobulk
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Dataset Creation and Baseline Models for Sexism Detection in Hausa
arxiv.org·1d
🗺️UMAP
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CueBench: Advancing Unified Understanding of Context-Aware Video Anomalies in Real-World
arxiv.org·23h
📦Pseudobulk
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Molecular Alchemy: AI-Powered Design of Novel Compounds by Arvind Sundararajan
dev.to·7h·
Discuss: DEV
🗺️UMAP
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Augmenting learning in neuro-embodied systems through neurobiological first principles
arxiv.org·23h
⛰️Gradient Descent
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The correspondence theory: How supercompatibility conditions, transformations twins, and austenite-martensite interfaces are determined directly from correspond...
arxiv.org·23h
🗺️Manifold Learning
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