In recent developments within AI research, the focus has gradually shifted from reliance on Large Language Models (LLMs) to more agile, adaptable Smaller Language Models (SLMs).
Which in turn, increasingly incorporate multimodal capabilities such as visual understanding. These foundation models, which blend natural language processing with vision, overcoming many of the limitations of LLMs such as high computational cost and dependency on extensive datasets.