This article relates to our thesis on Liquid Neural Networks that we plan to embed as a dynamic caching layer to enable actionable intelligence using our TAU Codex for multi-modal inferences in our process engineering platform, the Mantra M5. Here is our initial interaction with Liquid.ai: Trying a new LLM that is not based on … Continue reading Mantra M5 Thesis Brief 68 – Liquid Caching