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SDFP: Speculative Decoding with FIT-Pruned Models for Training-Free and Plug-and-Play LLM Acceleration
arxiv.org·1d
⚡Model Efficiency
Optimized LLM Inference Engines
rishirajacharya.com·3d
⚡Model Efficiency
Zero-Latency Local AI: Tuning Your Linux Kernel for LLM Inference 🐧🧠
dev.to·11h·
Discuss: DEV
⚡Model Efficiency
How I squeezed a BERT sentiment analyzer into 1GB RAM on a $5 VPS
mohammedeabdelaziz.github.io·7h·
Discuss: Hacker News
⚡Model Efficiency
Mechanistic Interpretability: Peeking Inside an LLM
towardsdatascience.com·2d
🔍AI Interpretability
Is Your Machine Learning Pipeline as Efficient as it Could Be?
kdnuggets.com·1d
⚡Model Efficiency
Determining Energy Efficiency Sweet Spots in Production LLM Inference
arxiv.org·1d
⚡Model Efficiency
ML-LIB: Machine Learning Library Proposed For The Linux Kernel
phoronix.com·1d·
Discuss: Hacker News
⚡Model Efficiency
Understanding LLM Inference Engines: Inside Nano-vLLM (Part 2)
neutree.ai·1d·
Discuss: Hacker News
⚡Model Efficiency
Finding the needle in the logstack: Reducing LLM context with TF-IDF
eliseomartelli.it·2d
⚡Model Efficiency
NotebookLM: The AI that only learns from you
byandrev.dev·3h·
Discuss: Hacker News
🔍AI Interpretability
Local Agent Bench: Test 11 small LLMs on tool-calling judgment, on CPU, no GPU
github.com·8h·
Discuss: Hacker News, r/LocalLLaMA
⚡Model Efficiency
[RFC PATCH v1 0/4] Machine Learning (ML) library in Linux kernel
lore.kernel.org·1d·
Discuss: Lobsters, Hacker News
🤖AI
Fast Autoscheduling for Sparse ML Frameworks
ajroot.pl·3d·
Discuss: Hacker News, r/Compilers
⚡Model Efficiency
Building Neuro‑OS Desktop: A Lightweight Python Desktop Environment with Adaptive Optimization
dev.to·1h·
Discuss: DEV
⚡Model Efficiency
Building Highly Efficient Inference System for Recommenders Using PyTorch
pytorch.org·1d·
Discuss: Hacker News
⚡Model Efficiency
Knowledge-Creating LLMs
tecunningham.github.io·14h·
Discuss: Hacker News
✍️Prompt Engineering
Continual learning and the post monolith AI era
baseten.co·23h·
Discuss: Hacker News
✍️Prompt Engineering
Text classification with Python 3.14's zstd module • Max Halford
maxhalford.github.io·1d·
Discuss: Lobsters, Hacker News
📡RSS
EBM vs. LLMs: Our Kona EBM a 96% vs. 2% Sudoku Benchmark
logicalintelligence.com·1d·
Discuss: Hacker News
⚡Model Efficiency

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