Adaptation of foundation model: from Transformer adapters to VLM test-time prompt tuning With the advent of foundation models, model development has shifted from tailoring task-specific models to training large models capable of addressing a wide range of tasks. One way of using foundation models is to directly use them with the pretrained weights from a very optimized training. This has the advantage of not using any training resources, and of exploiting ...