What are Small Language Models (SLMs)?
Small Language Models (SLMs) are AI systems designed to understand and generate human language but built with fewer parameters compared to larger models like GPT-4. These models are generally more efficient, requiring less computational power and memory, making them suitable for tasks where resources are limited or where the model needs to be deployed on edge devices or in environments with restricted hardware capabilities.
With Arcee.ai’s specialized training routines, such as Spectrum-powered pre-training and model merging, SLMs are exceeding expectations and outperforming their expected capabilities, effectively competing with large language models (LLMs). These innovative training routines make SLMs both efficient and accessible for companies of all sizes.