What are Small Language Models?

Small Language Models (SLMs) are AI models designed for natural language processing (NLP) tasks but with significantly fewer parameters than Large Language Models (LLMs). They offer faster processing, lower computational costs, and better efficiency, making them ideal for real-time applications, edge computing, and resource-constrained environments. While they may not match LLMs in complexity, SLMs can still perform tasks like text generation, summarization, and sentiment analysis effectively.

How do the SLMs work?

The working process of SLM is divided into 4 main categories, i.e.,

• Training Data Collection & Preprocessing
• Model Optimization Techniques
• Fine-Tuning & Customization
• Deployment on Various Platforms