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SLUUG Talk: Demystifying Large Language Models on Linux

 🤖"AI"  Content type: Code
github.com··DEV

Machine learning from scratch, what to build before using scikit-learn

 🤖"AI"  Content type: Tutorial
iwtlp.com··DEV

RKSC: Reasoning-Aware KV Cache Sharing and Confident Early Exit for Multi-Step LLM Inference

 🧠AI Research  Content type: Academic
arxiv.org·

Timing Trick Cuts Energy Used in LLM Training by Up to 14 Percent

 🤖"AI"  Content type: News
spectrum.ieee.org
··Hacker News

Asynchronous AI cuts computing energy by orders of magnitude while learning continuously

 🤖"AI"
techxplore.com·

How we fight GPU scarcity without compromise

 🧠LLMs  Content type: Blog
equixly.com··Hacker News

Inferoa AI harness claimed 90% cache savings. We ran it and measured 97.8%

 🧠LLMs
zozo123.github.io··Hacker News

Why LLMs (still) lack taste

 🧠LLMs

NVIDIA Accelerates Google DeepMind’s DiffusionGemma for Local AI

 🤖Ai  Content type: Blog
blogs.nvidia.com·

I Processed 2.4 Billion Tokens Across 52 AI Models for $0.52. Here's the Full Breakdown.

 🤖Agents
saintlex.sbs··DEV

Comprehensive evaluation of LLM capabilities for interpretation and analysis of genome-scale metabolic models in metabolic engineering

 🧠LLMs  Content type: Academic
biorxiv.org·

Using local LLMs for agentic coding

 🧠LLMs  Content type: Blog
blog.alexewerlof.com·

Shrinking a Neural Network Often Makes It Smarter

 🧠LLMs
siliconopera.com·

DeepSeekV4 1.6T Day 0 to Day 43 Performance Over Time - Huawei, GB300 NVL72, MI355X, B200

 🤖Ai  Content type: News

DiffusionGemma: 4x Faster Text Generation

 🤖Ai  Content type: News  Content type: Blog

Build a Medical Report Analyzer on Dedicated Inference with Python

 🤖Ai
digitalocean.com·

Token4Token — pay-per-token inference on Gnosis + Swarm

 🧠LLMs

AMD's Lemonade SDK For Local AI Adds NVIDIA CUDA Support

 🧠LLMs
phoronix.com··r/artificial

The Neutral Mask: How RLHF Provides Shallow Alignment while Leaving Partisan Structure Intact in a Large Language Model

 🧠LLMs  Content type: Academic
arxiv.org·

Don't dethrone consciousness

 🧠LLMs  Content type: News

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