🧠 LLMs - ibrahimsharaf · Scour

I added a second GPU just for local AI workloads, and it cost less than upgrading my main one 💻Local AI

xda-developers.com·3d

LLM Targeted Underperformance Disproportionately Impacts Vulnerable Users 📊LLM Evaluation

Find bugs in YOUR code using OpenCode, Llama.cpp and Qwen3.6 💻Local AI

wtarreau.blogspot.com·3d·Lobsters, Hacker News, wtarreau.blogspot.com

State Media Control Influences Large Language Models 🧪Synthetic Data

state-media-influence-llm.github.io·4d

LLMs can't read PDFs in 2026? 💻Local AI

musings-mr.net·6d·Hacker News

Fine-Tuning Llama 3.2 3B on Medical QA: Week 1 Setup and Baseline Inference 🚀LLM Deployment

github.com·1d·DEV

Compositional Literary Primitives in Instruction-Tuned LLMs: Cross-Architectural SAE Features for Self, Style, and Affect 🔬Small LMs

Claude Tutorial for Beginners Learn with Real Use Cases 🧪Synthetic Data

My local LLM can call Claude when it's stuck, and it changed everything about my local-first setup 🚀LLM Deployment

xda-developers.com·3d

The Evaluation Game: Beyond Static LLM Benchmarking 📊LLM Evaluation

anishathalye/ai-agent-security-lecture: Guest lecture in MIT 6.566 on AI Agent Security 🤖AI Agents

github.com·2d·Lobsters, Hacker News

HPC-LLM: Practical Domain Adaptation and Retrieval-Augmented Generation for HPC Support 🔍RAG

antoinezambelli/forge: A Python framework for self-hosted LLM tool-calling and multi-step agentic workflows 🚀LLM Deployment

github.com·1d·Hacker News

VerifyMAS: Hypothesis Verification for Failure Attribution in LLM Multi-Agent Systems 🚀LLM Deployment

Doorman11991/smallcode: AI coding agent optimized for small LLMs. 87% benchmark with 4B-active model. 🤖AI Agents

github.com·2d·Hacker News, r/SideProject, r/vibecoding

Strategic Over-Parameterization for Generalizable Low-Rank Adaptation 🚀LLM Deployment

OpenAgentic-Labs/echoform-ghost-memory: Effectively unlimited long-term memory for any LLM - zero context tokens, zero weight updates, cryptographic forgetting certificate. 🚀LLM Deployment

github.com·1d·Hacker News

Revisiting the Adam-SGD Gap in LLM Pre-Training: The Role of Large Effective Learning Rates 📊LLM Evaluation

ndom91/llama-dash: The operations layer for your local LLM stack 🚀LLM Deployment

github.com·1d·Hacker News

HydroAgent: Closing the Gap Between Frontier LLMs and Human Experts in Hydrologic Model Calibration via Simulator-Grounded RL 🧪Synthetic Data

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