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OpenJarvis: Local AI Framework Now Available
Ollama Bloghigh confidence
Why it matters
- →OpenJarvis enables personal AI to run locally, reducing cloud dependency.
- →It offers potential savings in energy, cost, and latency for AI applications.
- →The framework supports diverse tasks, enhancing personal AI utility.
Stanford's Hazy Research and Scaling Intelligence labs have released OpenJarvis, an open-source framework for building personal AI agents that run locally on your hardware. This local-first approach aims to reduce reliance on cloud services, enhancing energy efficiency and reducing costs and latency. Version 1.0 of OpenJarvis is now available and integrates seamlessly with Ollama, supporting macOS, Windows, and Linux. The framework includes built-in agents for various tasks, such as generating morning briefings and running Python code locally. OpenJarvis represents a significant step towards more efficient and accessible personal AI systems.
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Perplexity Portable Computer Launches on Windows with NVIDIA RTX
Perplexity's Portable Computer is now available for Windows users with NVIDIA RTX GPUs, offering a powerful local AI agent that can handle multistep tasks directly on a PC. This release allows users to keep sensitive information on their devices while leveraging local models for data analysis and task management. The integration with NVIDIA RTX GPUs ensures accelerated performance, and the app can seamlessly transition tasks to cloud models when needed. This development brings advanced AI capabilities to more Windows users, simplifying the setup and use of local AI models without the need for complex configurations.
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