Small Language Models (SLMs) are AI models designed for processing and generating natural language with fewer parameters than large models.
- Compact - Efficient - Requires less computational power
SLMs typically have millions to a few billion parameters, enhancing speed and efficiency.
SLMs excel in specific tasks such as chatbots, customer support, and summarization, providing targeted insights for various industries.
- Cost-effectiveness - Lower latency - Enhanced security - Adaptability for real-time applications
Techniques like model compression and transfer learning help SLMs retain essential capabilities while minimizing size and complexity.
As AI evolves, SLMs will become increasingly important for applications needing quick responses and efficient processing in diverse fields.