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Unlock the Power of Generative AI in Your Smart Home with 99% Accuracy

A new integration for Home Assistant, called home-generative-agent, leverages LangChain and LangGraph to create a generative AI agent that automates tasks in smart homes. This agent uses a hybrid cloud-edge approach, employing sophisticated cloud-based models for reasoning and planning, and simpler edge models for specific tasks, reducing errors and costs. The agent can create automations, analyze images, and manage home states. It uses various LLMs, with a primary model for high-level reasoning and smaller, specialized models for tasks like image analysis. The project, which is open-source, has been tested on a Raspberry Pi 5 with SSD storage and an Ubuntu server with an AMD CPU and Nvidia GPU. Despite its potential, the integration carries risks like LLM hallucinations and privacy concerns, and the costs for running such systems are currently prohibitive for the average user. The agent’s architecture follows Home Assistant best practices and uses LangGraph for managing complex agent workflows.

Source: towardsdatascience.com

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