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Architecting the Industrial Edge AI Gateway
A deep dive into deploying GRU-based inference engines to the extreme edge. Learn how we achieved sub-100ms anomaly detection using TFLite Micro and FreeRTOS isolation on ESP32-WROVER hardware.
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Building an LLM-Powered Digital Twin for Physical AI
An LLM-powered Digital Twin that combines real-time IoT data, system-level rules, and a LangChain-based reasoning agent to explain what is happening, why it is happening, and what should be done next.
LangChain: The Missing Glue for Real-World AI Applications
LangChain is the orchestration layer that turns LLMs into actual systems. Learn how it handles memory, tools, and agents to build real-world AI applications.
Understanding RAG: The Bridge Between LLMs and Your Data
Retrieval-Augmented Generation (RAG) is an architecture used to optimize the output of an LLM by referencing a trusted knowledge base outside of its training data.