Kurt Manninen, Senior Solutions Architect at BrainChip, demonstrates the company’s latest edge AI and vision technologies and products at the September 2024 Edge AI and Vision Alliance Forum. Specifically, Manninen demonstrates his company’s Temporal Event-Based Neural Network (TENN) foundational large language model with 330M parameters, augmented with a Retrieval-Augmented Generative (RAG) output to replace user manuals.
In this demo, BrainChip’s custom-trained TENN LLM with RAG:
- Runs locally with minimal footprint
- Powers natural language interfaces for home appliances, and
- Delivers lightning-fast inference on edge devices
BrainChip’s TENN architecture is redefining what’s possible in edge AI, seamlessly integrating spatiotemporal and sequential data. TENNs enhance LLM performance through Generation (RAG), opening new horizons for targeted, low-power generative AI applications.
For semiconductor pioneers looking to see how to transform consumer user interfaces, this video shows how BrainChip’s TENN can transform ASIC designs and edge AI capabilities, a game-changer for consumer products in the future. Ready to lead the AI revolution? Connect with the company to explore integration possibilities for your next-gen semiconductor solutions.
