Description
Fine-Tuning and Optimizing Small Language Models 2026-9 is a Pluralsight course by Ned Bellavance. Explains how to adapt and deploy small language models for specialized tasks. The saved collection is labeled 2026-9.
What you will learn
- Topics include Training datasets.
- Topics include LoRA and QLoRA.
- Topics include Direct preference optimization.
- Topics include Quantized model deployment.
Course specifications
- Publisher
- Pluralsight
- Instructors
- Ned Bellavance
- Quality
- 720p
- Edition
- 2026-9
Course topics
A course topics image is not available for this resource.
Pictures
AI Feders artworkHow to open the files
Use the grouped file links below to choose an edition and provider. For multipart archives, keep all parts of the same edition together before extracting the first part.
Open the included course media with a compatible video player.
Download resources
Choose one edition and keep its parts together. Alternate providers are available when listed.
Size
781 MB
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