Cost effective deployment of language models (explicit financial as well as implicit environmental cost) is partly responsible for triggering the interest in small language models (SLMs) as alternatives for specific applications.
Nvidia Research have a great paper on this entitled "Small Language Models are the Future of Agentic AI" with the recommendation that more routine tasks (non reasoning tasks) move from LLMs to SLMs. Fine tuning these SLMs for specific tasks can also enhance the effectiveness of deployed models.
No comments:
Post a Comment