NVIDIA Research released SpatialClaw, a training-free framework that uses code as the action interface for spatial reasoning in vision-language models. The framework achieves 59.9% average accuracy ac…
Ollama 0.3.0 introduced a format parameter that enforces structured JSON output from local LLMs via constrained decoding, eliminating parsing failures caused by markdown wrappers or extraneous text. T…
Researchers at Stanford University and Lambda Labs released OpenJarvis, an open-source framework that runs AI inference, agents, memory, and learning entirely on-device. The framework achieves perform…
A developer has shared a complete setup guide for running a local AI Retrieval Augmented Generation (RAG) system using free, open-source tools. The configuration uses Ollama to run Google's Gemma4 mod…
This article details a Retrieval-Augmented Generation (RAG) architecture built on AWS EC2 that uses n8n for workflow orchestration, PostgreSQL with pgvector for vector storage, and Ollama to run the G…
The GGUF file format consolidates all necessary model components—including weights, chat templates, and special tokens—into a single file, offering a more ergonomic alternative to the scattered JSON f…