All articles tagged with #local ai
Ecovacs' new Deebot X11 OmniCyclone robot vacuum features mostly on-device AI for identifying messes and adapting cleaning routines, reducing reliance on cloud connectivity, though full functionality still depends on internet access for app control and voice assistant features. The move towards local AI is promising for privacy and reliability, but its success depends on the effectiveness of onboard AI capabilities.
The article discusses OpenAI's 'gpt-oss', an open-weight AI model that can be run locally on personal devices like Macs, offering privacy benefits but suffering from slow performance compared to cloud-based models like ChatGPT. The author tested it on two Macs, finding it slow but private, and highlights its potential for users with powerful hardware who prioritize privacy over speed.
The article discusses building a high-end gaming PC to run powerful local AI models, highlighting the advantages of privacy and independence from internet connectivity, and detailing the hardware specifications and costs involved.
The article discusses the challenges and future prospects of building a fully offline, self-hosted AI workspace, emphasizing hardware limitations like RAM and processing power, the importance of efficiency, and the potential of emerging hardware and software solutions to make local AI more accessible and practical in the coming years.
Google has released the AI Edge Gallery app, allowing users to download and run AI models locally on their phones without internet, supporting tasks like image generation, question answering, and coding, with a focus on privacy and offline use.
Nvidia has introduced Chat with RTX, a local AI chatbot that allows users to utilize an AI model to browse through offline data using retrieval-augmented generation (RAG). The guide explains how to download and use the tool, including adding and refreshing datasets, selecting AI models, and using it with YouTube videos. The tool requires an RTX 40-series or 30-series GPU with at least 8GB of VRAM, 16GB of system RAM, 100GB of disk space, and Windows 11, and may encounter installation issues.