Video by H2O.ai via YouTube
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.
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AI Fundamentals Glossary | H2O.ai University
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#SLM #FineTuning #LLMOps #AIGlossary #H2Oai