Selecting a Model Adaptation Strategy

Comparing Model Adaptation Techniques

A research lab has access to a single, very large, pre-trained language model with billions of parameters. Their goal is to adapt this model for over a dozen distinct, specialized scientific text analysis tasks (e.g., gene name recognition, chemical reaction classification, protein function prediction). They have limited computational resources and cannot afford to store a separate, multi-billion parameter model for each of the dozen tasks. Which of the following adaptation approaches best addresses their primary constraints?