Micro-models are compact, specialized models that zero in on particular subsets or tasks within a more extensive machine learning or artificial intelligence ecosystem. These models are engineered to surmount specific hurdles or offer targeted solutions within a larger framework.
In the realm of machine learning, micro-models can be regarded as the fundamental building blocks that collaborate to construct a more comprehensive system. Each micro-model typically assumes the responsibility of managing a distinct aspect of the data or executing a specific task. For instance, in a natural language processing system, there might be micro-models exclusively dedicated to sentiment analysis, named entity recognition, or part-of-speech tagging.