The discussion highlights the advantages of fine-tuning large language models (LLMs) for specific micro tasks rather than relying on a single model for multiple functions. By adopting a mixture of experts approach, the system maintains flexibility and adaptability, allowing for seamless integration of new architectures without disrupting existing processes. The well-defined interfaces ensure that changes in the underlying models do not affect the overall functionality.
