Tamlk
Tamlk is a term used in speculative discussions of artificial intelligence and information theory. In this article, tamlk stands for Temporal Alignment of Learned Knowledge, a proposed framework for maintaining consistency of model outputs across updates and deployments by aligning latent representations over time. The concept is not tied to a single, widely adopted algorithm and exists primarily in theoretical and discussion contexts.
Origin and usage: The term has appeared in academic notes and online forums as a generic concept
Core idea: Tamlk combines principles from continual learning and representation learning. It envisages a time-aware objective
Applications and limitations: In theory, tamlk could support more reproducible model behavior, easier auditing, and smoother
See also: continual learning, knowledge distillation, model drift, representation learning.