LLMs

large language models, open source LLM, foundation models

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Should LLM Agents Decide in Social Simulations? Comparing Finite-State and LLM-Based Decision Policies

 🔓Open Source AI  Content type: Academic
arxiv.org·

What Are Tokens in LLMs?

 🔓Open Source AI  Content type: Blog

2x GH200 for LLM inference, Part 2: vLLM, DeepSeek V4 Flash, and MTP

 🔓Open Source AI  Content type: Blog
dnhkng.github.io·

Coelho Mollo and Millière: The Vector Grounding Problem

 🤖AI

MoQ GGUFs and GSQ: Low-Bit GGUFs Are About to Get Much Better

 🔓Open Source AI  Content type: News  Content type: Blog

Agentic AI for Insurance Underwriting: Beyond Chatbots and Prompts

 🕵️AI Agents  Content type: Blog

I finally built the central AI hub I've been wanting, and Open WebUI made it stupidly simple

 🔓Open Source AI
xda-developers.com·

Acoda: Adversarial Code Obfuscation for Defending against LLM-based Analysis

 🔓Open Source AI  Content type: Academic
arxiv.org·

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

 🔓Open Source AI  Content type: Code

AI Agents Running Businesses: Andon Labs on Project Vend

 🕵️AI Agents
startuphub.ai·

Quantum circuits help AI overcome memory limitations with minimal new parameters

 🔓Open Source AI
phys.org·

Pruned YOLOv8 ONNX INT8 Fails: 3 Fixes That Work

 🤖AI  Content type: Blog  Content type: Discussion
tildalice.io·

The latest Gemma 4 models use a training trick to slash their on-device memory footprint

 🔓Open Source AI
androidauthority.com·

google/gemma-4-31B-it · fix: chat template — null handling, reasoning preservation, turn-tag balance, input validation

 🔓Open Source AI

Compatibility-Aware Dynamic Fine-Tuning for Large Language Models

 ⚙️MLOps  Content type: Academic
arxiv.org·

Show HN: Run Llama.cpp In-Process from Java with Project Panama FFM

 🔓Open Source AI

MLPerf and the rise of latency-aware LLM benchmarking

 💬NLP
edn.com·

SPEAR: A System for Post-Quantization Error-Adaptive Recovery Enabling Efficient Low-Bit LLM Serving

 ⚙️MLOps  Content type: Academic
arxiv.org·

A wild idea: Abstract reality using ontology

 🕵️AI Agents  Content type: Discussion

Benchmarking Large Language Models for Safety Data Extraction

 🔓Open Source AI  Content type: Academic
arxiv.org·
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