Final answer:
Small Language Models (SLM) are advantageous over Large Language Models (LLM) due to their efficiency, task-specific performance, and resource-effective operation.
Explanation:
Advantages of Small Language Model (SLM) over Large Language Model (LLM):
- Consumes fewer computing resources: SLM requires less computational power compared to LLM, making it more efficient.
- Task-specific performance: SLM can excel in specific tasks due to its focused training, while LLM may struggle with task specialization.
- Resource-efficient: Operating on a smaller scale, SLM can still provide quality results without the need for massive parameters and data.
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