Specialized small language models (SLMs) can outperform large, generalist models. Want to learn how? Read Armand Ruiz’s post on LinkedIn: “Inference is cheaper. Iteration is faster. Fine-tuning takes hours, not weeks. SLMs can run locally, privately, and securely and no datacenter needed“. See the related research paper stating that “SLMs are sufficiently powerful, inherently more suitable, and necessarily more economical for many invocations in agentic systems, and are therefore the future of agentic AI“.