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Praveen Kumar Verma

@Alacritic_Super • 5,232 subscribers

AI/ML | FinTech @PaymentusCorp | Trading | Helping you understand AI, Money, Hardware & Robotics. DM for collab.

Shorts

Running AI directly on $5 microcontroller hardware keeps getting easier. ESP32-AI adds a 28.9M LLM to your microcontroller. It's very impressive for the chip size. It gives you lightweight AI capabilities right on ESP32 microcontrollers. Key highlights: • On-device edge inference without relying on cloud APIs • Ultra-low power consumption for IoT hardware & sensors • Streamlined C++ setup for fast integration Small-footprint edge ML is where real-world robotics and smart devices win.

Running AI directly on $5 microcontroller hardware keeps getting easier. ESP32-AI adds a 28.9M LLM to your microcontroller. It's very impressive for the chip size. It gives you lightweight AI capabilities right on ESP32 microcontrollers. Key highlights: • On-device edge inference without relying on cloud APIs • Ultra-low power consumption for IoT hardware & sensors • Streamlined C++ setup for fast integration Small-footprint edge ML is where real-world robotics and smart devices win.

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