Small Language Models (SLMs): A Survey
on Nlp, Survey, Slm, Small-language-models, Efficiency
Introduction
This post explores the survey on Small Language Models (SLMs), examining their unique characteristics, advantages, and applications in resource-constrained environments.
Key Topics Covered
- Definition and Characteristics of SLMs
- Model Architecture and Design Choices
- Training Strategies for Small Models
- Efficiency vs Performance Trade-offs
- Deployment Scenarios
- Comparison with Large Language Models
- Future Directions for SLM Research
Summary
[Add your summary and insights from the survey paper here]
References
[Add relevant references and links to the original paper]
