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Choosing a GGUF Model: K-Quants, I-Quants, and Legacy Formats
kaitchup.substack.com
ยท1dยท
๐Ÿ’ธAffordable LLMs
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5 Ways to Get the Best Out of LLM Inference
pub.towardsai.netยท6h
๐Ÿ’ฌPrompt Engineering
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Disaggregated machine learning via in-physics computing at radio frequency
science.orgยท2dยท
Discuss: Hacker News
๐Ÿ“ฑEdge AI
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Out-of-Context: Constrained Tool Based Exploration of Context
gojiberries.ioยท1dยท
Discuss: Hacker News
๐ŸงฉLLM Integration
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Better Compression with Zstandard
gregoryszorc.comยท18h
๐Ÿš€Performance
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Taming P99s in OpenFGA: How We Built a Self-Tuning Strategy Planner
auth0.comยท3dยท
Discuss: Lobsters
๐Ÿš€Performance
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I bought a โ‚ฌ9k GH200 โ€œdesktopโ€ to save $1.27 on Claude Code (vLLM tuning notes)
dnhkng.github.ioยท15hยท
Discuss: r/LocalLLaMA
๐Ÿš€Performance
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Week 5 in Data Science: Image recognition neural network with 90% accuracy
igorstechnoclub.comยท2dยท
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๐Ÿ“ฑEdge AI
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Sparse attention 3 โ€“ inefficiency of extracting similar content
kindxiaoming.github.ioยท13h
๐ŸงฑChunking
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Ask HN: Idea) Autoregressive joint embedding predictor model
news.ycombinator.comยท1dยท
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๐Ÿ”ขEmbeddings
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Why Juliaโ€™s GPU Accelerated ODE Solvers are 20x-100x Faster than Jax and PyTorch
stochasticlifestyle.comยท10hยท
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๐Ÿš€Performance
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The AI Engineering Stack
bowtiedraptor.substack.comยท1dยท
Discuss: Substack
โšกAI-Driven DevOps
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Entropy-Adaptive Fine-Tuning: Resolving Confident Conflicts to Mitigate Forgetting
arxiv.orgยท1dยท
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๐Ÿ›กResilience Engineering
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Creating a perceptron for logical operations
knowledge.devยท1dยท
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๐Ÿ“ฑEdge AI
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Sampling at Negative Temperature
cavendishlabs.orgยท4hยท
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๐Ÿ’ธAffordable LLMs
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hyunwoongko/nanoRLHF: nanoRLHF: from-scratch journey into how LLMs and RLHF really work.
github.comยท2dยท
Discuss: r/LocalLLaMA
๐ŸงฉLLM Integration
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Investigating Record-Based Domain Models
coding-mischief.comยท13hยท
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๐Ÿ’ธAffordable LLMs
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DeepSeek To Release Next Flagship AI Model With Strong Coding Ability
theinformation.com
ยท2dยท
๐Ÿ“ฑEdge AI
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A Unique Performance Optimization for a 3D Geometry Language
cprimozic.netยท22hยท
๐Ÿ”งDSPy
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HW-Accelerated Physical AI Framework For Resource-Constrained Edge Devices (ASU)
semiengineering.comยท4d
๐Ÿ“ฑEdge AI
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