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

H2O.ai4 October 2026Watch on YouTube

What you'll learn

  • Not every use case needs a large model, a smaller and purpose-built model is often faster, cheaper and better suited to the job.
  • An SLM (Small Language Model) has fewer parameters and trades breadth for precision.
  • An SLM runs on-premises or on edge devices, with no cloud dependency.
  • Fine-tuning means training a pre-trained model further on domain-specific data, such as law, medicine or your business.
  • LLMOps covers the infrastructure and practices for deploying, managing, monitoring and updating language models over time.

Frequently asked questions

What is an SLM according to this explanation?
An SLM is a Small Language Model with fewer parameters than a large model. It trades breadth for precision and runs on-premises or on edge devices with no cloud dependency.
What does SLM development involve?
SLM development is designing, training and optimizing a small model for a well-defined task or dataset.
What does a fine-tuning engine do?
A fine-tuning engine takes a pre-trained model and trains it further on domain-specific data, so it learns the language of law, medicine or your business.
In which situations do compact models win according to the video?
For example a hospital running clinical documentation on local servers and a manufacturer processing quality reports on factory floor devices.

Topics

slmfine-tuningllmopsonderwijsh2o.ai

Read next

Description from the channel

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