Why SLMs are Gaining Attention
Large LLMs offer excellent versatility but have high API costs and difficulty meeting enterprise security requirements. Small Language Models (SLMs, 1B-13B parameters) solve these problems.
Advantages of SLMs
Fine-Tuning Strategies
LoRA (Low-Rank Adaptation)
Instead of retraining the entire model, adjusting only a small number of parameters achieves 90% reduction in training costs and dramatically reduces training time.
Domain Data Preparation
Convert internal enterprise manuals, FAQs, and technical documents into training data.
Evaluation and Validation
Quantitatively evaluate fine-tuning effectiveness with domain-specific benchmarks.
Use Cases
Conclusion
SLMs are the optimal solution for enterprise AI that satisfies both cost and security requirements. Build your custom SLM with POLYGLOTSOFT's AI platform.