Home Agent extends Home Assistant's native conversation platform to enable natural language control and monitoring of your smart home. It works with any OpenAI-compatible LLM provider, giving you ...

Abstract: Large language models (LLMs) face significant deployment challenges due to their substantial memory and computational demands. While low-precision quantization offers a promising solution, ...

OntoMem is built on the concept of Ontology Memory—structured, coherent knowledge representation for AI systems. Give your AI agent a "coherent" memory, not just "fragmented" retrieval. Traditional ...

Abstract: On-device Large Language Model (LLM) inference enables private, personalized AI but faces memory constraints. Despite memory optimization efforts, scaling laws continue to increase model ...

At the start of 2025, I predicted the commoditization of large language models. As token prices collapsed and enterprises moved from experimentation to production, that prediction quickly became ...

When an enterprise LLM retrieves a product name, technical specification, or standard contract clause, it's using expensive GPU computation designed for complex reasoning — just to access static ...