Pluralsight.Fine-Tuning.and.Optimizing.Small.Language.Models.2026.BOOKWARE-GETH

Section

eBooks/Audiobooks

Group

GETH

Size

1,29 GB

Files

12

Date

2026-09-17

NFO

        Publisher > Pluralsight
            Title > Fine-Tuning and Optimizing Small Language
                    Models
           Author > Ned Bellavance
          Modules > 7
            Clips > 46
         Duration > 03:28:33
        Published > 2026-09-16
         Released > 2026-09-16
            Files > 10*150MB
         Language > English
        Subtitles > English, French and Hindi
      Description > Base language models often require targeted
                    post-training to perform specialized tasks
                    efficiently. This course will teach you how
                    to prepare datasets, apply LoRA/QLoRA and
                    DPO, and deploy quantized open-source SLMs.
              Url > https://www.pluralsight.com/courses/fine-tunin
                    g-optimizing-small-language-models
            Notes > --

Files