XDA Developers on MSN

Local LLMs finally beat cloud AI for coding, automation, and brainstorming — here's which ones I use

There's always a local model that can replace your AI subscription ...
XDA Developers on MSN

My 7-year-old GPU runs local AI perfectly, and I don't need my cloud subscriptions anymore

You don't always need an RTX 5090 to run useful models ...
techtimes

Open-Source Coding Model Ornith-1.0 Writes Its Own Training Scaffold in Reinforcement Learning

DeepReinforce today released Ornith-1.0, a family of open-source coding models built around a mechanism most RL-trained agents avoid: the model itself writes the training harness that guides its own ...

OpenCV 5.0 brings LLMs to the Computer Vision Library

Version 5.0 Modernizes DNN Engine, Adds LLM/VLM Support, and Enhances Core, Hardware Acceleration, and 3D Stack.
GitHub

SubLink: Flexible Subspace-driven Ultra-low-bit VLM Quantization by Direction-Magnitude Coupling

python main_eval.py --config configs/default.yaml --tasks mmmu_val python main_eval.py \ --config configs/default.yaml \ --tasks mmmu_val \ --scale_path scale_cache ...
GitHub

Ashmit0405/Intrusion-Detection-System

Project implementation based on the paper "Hybrid CNN-LSTM Deep Learning Model for Intrusion Detection using the CICIDS2017 dataset". This repo contains: Backend (Python + TensorFlow + FastAPI): ...

IEEE Rolls Out Large Language Models Virtual Training Course

Large language models have moved out of the research lab and into engineers’ daily workflow. LLMs serve as reasoning engines ...
IEEE

Quantization-Aware Training With Dynamic and Static Pruning

Abstract: The evolution of deep neural networks (DNNs) naturally leads to an increase in model size. This necessitates various model compression techniques, such as pruning and quantization, to reduce ...