Page 9 - LARGE LANUGAGE MODEL AND SMALL LANUGAGE MODEL

What are SLM

 Small language models (SLMs) are AI models that use different

methods to be smaller and require less computing power than

larger models.

 SLMs use techniques like model compression, knowledge distillation,

and efficient architectures to make themselves smaller. Model

compression uses methods like low-rank factorization, quantization,

and pruning to reduce the number of parameters without sacrificing

much performance. Knowledge distillation involves teaching a

smaller model to act like a larger, already trained model. Efficient

architectures, like Transformer-XL and Linformer, are specially

designed structures that focus on efficiency.