Small Language Models:
Big Tech firms that announced large language AI models also released Small Language Models subsequently.
- SLMs represent a specialized subset within the broader domain of artificial intelligence, specifically tailored for Natural Language Processing (NLP).
- They are AI models designed to process and generate human language.
- They are called “small” because they have a relatively small number of parameters compared to large language models (LLMs) like GPT-3.
- They are characterized by their compact architecture and less computational powe
- This makes them lighter, more efficient, and more convenient for apps that don’t have a ton of computing power or memory.
- SLMs are engineered to efficiently perform specific language tasks, with a degree of efficiency and specificity that distinguishes them from their LLM counterparts.
- They are specialized in specific tasks and built with curated, selective data sources.