SLMs, Fine-Tuning & LLMOps: Building Production-Ready Language Models

Not every use case needs a large model. Smaller and purpose-built is often faster, cheaper and better suited to the job. Terms covered: - SLM (Small Language Model): fewer parameters, trading breadth for precision. Runs on-premises or on edge devices with no cloud dependency. - SLM Development: designing, training and optimizing a small model for a well-defined task or dataset - Fine-Tuning Engine: taking a pre-trained model and training it further on domain-specific data, so it learns the language of law, medicine or your business - LLMOps: the infrastructure and practices for deploying, managing, monitoring and updating language models over time A hospital running clinical documentation on local servers. A manufacturer processing quality reports on factory floor devices. These are where compact models win. — AI Fundamentals Glossary | H2O.ai University Full playlist: https://www.youtube.com/playlist?list=PLAWKlIKS-66E Free courses and certifications: https://h2o.ai/university #SLM #FineTuning #LLMOps #AIGlossary #H2Oai