Day 3 small language model (slm)

Topic : Small Language Model (SLM)

Article Source :

TL;DR :

Small Language Models are essentially streamlined versions of larger language models, such as GPT (Generative Pre-trained Transformer). While large models often consist of hundreds of billions of parameters, making them computationally expensive, SLMs operate with a significantly reduced parameter count. This reduction directly translates to faster inference times, reduced memory usage, and lower energy consumption, making SLMs particularly well-suited for deployment on devices with limited processing power, such as smartphones, IoT devices, and edge computing systems.

Full research paper is here.

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