Size Doesn’t Always Matter When It Comes To Language Models
SMRTR summary
Artificial Intelligence language models are moving beyond simple size classifications. The focus is now on balancing specialized knowledge with broader understanding. Small Language Models excel in specific domains, while Large Language Models offer wider knowledge. As AI progresses, the distinction between these models is blurring. The challenge is combining depth and breadth effectively. Experts propose using LLMs as "deciders" that consult SLMs for specialized knowledge, similar to how humans seek expert advice for complex problems.
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