Beyond LLMs: A Lightweight AI Approach with 1GB Memory

This article highlights a potential shift away from resource-intensive LLMs towards more efficient AI models. The focus on neuromorphic computing and HDC offers a compelling alternative, but the practical performance and scalability of this approach remain to be seen. The success hinges on demonstrating comparable capabilities with significantly reduced computational demands.

• •HBM cost and power consumption are limiting factors for large AI models.
• •The article proposes a bio-inspired approach using active inference and HDC.
• •The goal is to create a lightweight AI model that can run on 1GB of memory.