Low-code framework for building custom AI
Ludwig, a declarative deep learning framework hosted by the Linux Foundation AI & Data, announced support for Python 3.12, PyTorch 2.7+, Pydantic 2, Transformers 5, and Ray 2.54, enabling users to tra…
Ludwig, a declarative deep learning framework hosted by the Linux Foundation AI & Data, announced support for Python 3.12, PyTorch 2.7+, Pydantic 2, Transformers 5, and Ray 2.54, enabling users to tra…
Apple's M4 Pro with 64GB RAM can run vision models like Llama 3.2 Vision, Moondream2, and Qwen2-VL locally with low latency, according to a developer guide. The guide recommends using Ollama to manage…
A developer built Visual Forensics Radar, an 'Ensemble of Experts' system that combines Error Level Analysis, Zero-Shot CLIP classification, and a Vision-Language Model (Qwen2-VL) to detect hybrid dee…
Researchers at arXiv challenge the common assumption that visual attention correlates with reliability in vision-language models. Their VLM Reliability Probe study across multiple models finds that sp…
Researchers introduced HorusEye, a framework using language as dynamic attention for emergency visual analysis, and benchmarked it on the RefCOCO-Degraded dataset. Testing multiple vision-language mod…