💬 LLMs - mrmarket · Scour

I stress-tested DeepSeek vs Gemini on 800k contexts. Found a weird "Inverted Attention" curve and a simple fix for tag degradation 🧠Machine Learning

zingzingsoftworks.com·12h·r/PromptEngineering

An Experiment in Formal Verification with Claude 🔬Quantum Computing

blog.succinct.xyz·5h

InferenceBench: A Benchmark for Open-Ended Inference Optimization by AI Agents 🧠Machine Learning

inferencebench.ai·45m·Hacker News

LLMs are functions, not brains. 🧠Machine Learning

james-pritchard.com·2d

Learnings from 100K lines of Rust with AI (2025) 🤖AI

news.ycombinator.com·8h·Hacker News

Context pruning: cut LLM tokens without losing quality (9 minute read) 🧠Machine Learning

LLM Wiki v2 — extending Karpathy's LLM Wiki pattern with lessons from building agentmemory 🧠Machine Learning

gist.github.com·19h·Hacker News

Compute Optimal Tokenization: Scaling Laws for Data Compression in LLMs 🧠Machine Learning

co-tok.github.io·1d·Hacker News

MoE expert co-activations: Reordering inputs yields easy throughput gains. 🧠Machine Learning

blog.doubleword.ai·1h·Hacker News

GPU Memory Math for LLMs: Formula That Tells You What Fits on Your GPU 🔬Quantum Computing

theahmadosman.substack.com·3h·Substack, r/LocalLLaMA

IKP — Incompressible Knowledge Probes 🧠Machine Learning

01.me·14h

A deep dive into the Transformer architecture 🧠Machine Learning

blog.algomaster.io·6d

Benchmarking AI Text Detection: Assessing Detectors Against New Datasets, Evasion Tactics, and Enhanced LLMs 🤖AI

aclanthology.org·1d

Drivers of the Large Language Model (LLM) Content Filtering Market from 2026 to 2030: Regional Perspectives and Market Size Analysis 🧠Machine Learning

openpr.com·13h

Global Trends Overview: The Rapid Evolution of the Large Language Model (LLM) Market in Content Creation ✍️Content Marketing

Benchmark and optimize LLMs on-device with AI Edge Portal 🤖AI

cloud.google.com·8h

What's in a GGUF, besides the weights - and what's still missing? 🧠Machine Learning

nobodywho.ooo·6d·Hacker News, r/LocalLLaMA

The Best Open Source and Open-Weight LLM Models to Run Locally in 2026 🧠Machine Learning

huggingface.co·2d

The homogenizing effect of large language models on human expression and thought: Trends in Cognitive Sciences 🧠Machine Learning

michelangeloromerochisco/ternative: Inference engine for ternary-weight LLMs with runtime LoRA - the llama.cpp of BitNet models 🧠Machine Learning

github.com·1d·Hacker News

Log in to enable infinite scrolling