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Advantech Edge Agent, an interactive environment designed for the rapid development, experimentation, and deployment of automation agents, personal assistants, and edge AI systems. Its core purpose is to simplify the creation of complex, multimodal AI applications for edge computing.
Key takeaways:
- Foundation: Advantech Edge Agent is built directly upon NVIDIA's Agent Studio (from the NanoLLM library) and the broader NanoLLM library.
- Inherited Capabilities: This NVIDIA foundation provides features like support for multimodal Large Language Models (LLMs), speech and vision transformers, integrated vector databases for Retrieval Augmented Generation (RAG), and a visual node-based development interface.
- Key Edge-Specific Features: It's highly optimized for NVIDIA Jetson devices, supports real-time sensor integration, offers an extensible toolset (for LLM operations, speech, audio/video, databases), and allows for custom function extensibility.
- Strategic Advantage by Advantech: By leveraging NVIDIA's mature platform, we can concentrate on solution integration, hardware optimization (e.g., for ours MIC-733A0), and helping develop domain-specific applications. This accelerates our time-to-market with partners and provides a robust foundation that benefits from NVIDIA's ongoing AI advancements.
- Applications: It enables diverse applications such as industrial monitoring, safety compliance, and intelligent automation solutions, with examples like door detection and factory clothing analysis.
This guide details the usage of Edge Agent and provides preset projects ideal for quick demonstrations. As Edge Agent's features continuously grow, this guide offers updated information, enabling users to effectively utilize its services and developers to create custom functionalities.
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Edge Agent is being actively developed by the Advantech engineering team. You can always find the most up-to-date information on the project's Wiki. For questions or to track issues, we highly recommend creating an issue on this repository's Issues page using your GitHub account. We will respond to your submission as soon as possible after we receive it.