LLMs

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Using Scikit-LLM with Open-Source LLMs

 📊AI Monitoring

Ollama 0.30 GPU Boost: Faster local Qwen inference on NVIDIA

 ⚙️AI Infrastructure
everylocalai.com··DEV

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

 🎯AI Alignment  Content type: Academic
arxiv.org·

What Ollama Reveals About Local AI, Agents, and Open Models

 📊AI Monitoring  Content type: Blog
odsc.medium.com·

I built an open-source persistent memory layer for AI coding agents

 ⚙️AI Infrastructure  Content type: Code

What Are Tokens in LLMs?

 📊AI Monitoring  Content type: Blog

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

 🔍GEO  Content type: Academic
biorxiv.org·

I've tested so many desktop AI tools, but Hermes with Ollama is my new favorite - here's why

 ⚙️AI Infrastructure  Content type: News  Content type: Tutorial
zdnet.com·

Report: GKE Inference Gateway delivers up to 92% faster AI responses

 📡Information Retrieval  Content type: Blog

Running LLM Inference on Kubernetes: What It Actually Takes

 ⚙️AI Infrastructure  Content type: Blog
fairwinds.com·

Anthropic Walks Back Policy That Could Have ‘Sabotaged’ AI Researchers Using Claude

 📊AI Monitoring

What's in the Box? A Field Guide to AI Models

 ⚙️AI Infrastructure  Content type: Blog
iankduncan.com·

AI context windows: Why context quality beats context size

 📡Information Retrieval  Content type: Blog
redis.io·

Improved performance and model support with GGUF

 ⚙️AI Infrastructure  Content type: Blog
ollama.com·

Fixing a stuck Ollama runner and building a GPU watchdog

 📊AI Monitoring

An LLM that reviews your code, challenges your decisions, but never writes code for you

 🛠️Developer Tools  Content type: Blog
blog.adafruit.com·

WWDC 2026: Foundation Models (& Anarlog)

 ⚙️AI Infrastructure
skushagra.com·

Claude vs GPT-4: Which AI API Is Better for Developers? (2026)

 🛠️Developer Tools
kalyna.pro··DEV

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

 💡Framework Thinking  Content type: News

A Plea to the Labs: Let the Models Diagnose.

 📊AI Monitoring  Content type: Blog

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