Matmul on Blackwell: Part 2 – Using Hardware Features to Optimize Matmul
modular.com·1d·
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🦙Simple finetuning LLMs
How to run Qwen3 0.6B at 8.4 tok/sec on 2 x 5090s
reddit.com·2d·
Discuss: r/LocalLLaMA
🦙Simple finetuning LLMs
Reflections on Random Kitchen Sinks
archives.argmin.net·22h·
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📊Vector Databases
vLLM with torch.compile: Efficient LLM inference on PyTorch
blog.vllm.ai·2d·
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🔥Svelte
Memory is slow, Disk is fast – Part 2
bitflux.ai·1d·
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📊Vector Databases
Show HN: 60-Second Linux Analysis, Supercharged with Nix and LLMs
quesma.com·4h·
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🦙Simple finetuning LLMs
NVIDIA Dynamo LLM Inference Framework
multimodalai.substack.com·1d·
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🔵LLM frameworks and AI libraries for TypeScript
Show HN: Reverse vs. Vectorized Forward Ad: A Performance Exploration in C
raph5.github.io·9h·
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📊Vector Databases
When LLMs Grow Hands and Feet, How to Design Our Agentic RL Systems?
amberljc.github.io·23h·
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🔄AI Pipeline design and techniques
Write Your Own Retro Compiler
t3x.org·7h·
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🤖Coding Automation
LLMs, Quantum Measurement, and a Primitive of Consciousness
understoryai.substack.com·12h·
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🦙Simple finetuning LLMs
[Follow-up] A deep dive into my solo-dev narrative game engine, Synthasia (Multi-LLM & Local-First!)
google.com·3h·
Discuss: r/LocalLLaMA
🔥Svelte
Parallelization Strategies in Neural Networks
nwktimes.blogspot.com·12h·
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🔄AI Pipeline design and techniques
EPYC vs. Xeon for Hybrid Inference Server?
reddit.com·6h·
Discuss: r/LocalLLaMA
📊Vector Databases
Show HN: Training an LLM to Play Wordle with RL on Apple Silicon
charbull.github.io·3d·
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🦙Simple finetuning LLMs
LLMs Are Adaptive Data Organisms
worldgov.org·3h·
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🦙Simple finetuning LLMs
Strix Halo on Ubuntu looks great - Netstatz
netstatz.com·5h·
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🧩WASI
Show HN: Inception: Automatic Rust Trait Implementation by Induction
github.com·16h·
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🦀Rust language vector embeddings
LLMs from Scratch Using Middle School Math – TDS Archive
medium.com·1d·
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🦙Simple finetuning LLMs
Building an acoustic camera with UMA-16 and Acoular
minidsp.com·1d·
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🦙Simple finetuning LLMs