The Data Exchange with Ben Lorica
TinyML, Sensor-Driven AI, and Advances in Large Language Models
Jun 6, 2024
Pete Warden, founder of Useful Sensors, discusses the development of trustworthy AI for consumer electronics, advancements in Tiny Large Language Models and Sensor-Driven AI, the concept of Dark Compute, using CPUs and sensors for AI applications in consumer devices, and ways to engage in the TinyML and sensor-driven AI community.
25:23
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Quick takeaways
- Advancements in quantization enable running large language models on edge devices for practical applications.
- Useful Sensors enhances consumer electronics with on-device AI interfaces, prioritizing privacy and accessibility.
Deep dives
Extraction of Large Language Models on Tiny ML
The discussion delves into the integration of large language models (LLMs) with tiny ML applications. While large language models may sound massive, with some models reaching gigabytes in size, the conversation highlights how advancements in quantization from the LLM community are benefiting tiny ML. This collaboration showcases the feasibility of running sophisticated models on edge devices, bridging the gap between large language models and practical edge applications.
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