Day 3 small language model (slm)
Topic : Small Language Model (SLM)
Article Source :
- 🚀 Small Language Models (SLMs): The Future of Efficient AI 🚀
- Why Small Language Models Are The Next Big Thing In AI
- Research Paper - SMALL LANGUAGE MODELS: SURVEY, MEASUREMENTS, AND INSIGHTS
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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[[Day 1 - MCP (Model Context Protocol)]] [[Day 2 - Change Data Capture (CDC)]] [[Day 3 - Small Language Model...