SSkilvy
RULog inStart free
← Back to catalog

Fine-tuning and customizing models

When and how to fine-tune models for your tasks and data.

Course program

Module 1

Fine-tune vs prompting

1What fine-tuning isFree2Prompting first, then fine-tuningFree3When fine-tuning is really needed🔒
Module 2

Training data

4Training data: quality decides🔒5Preparing and labeling data🔒
Module 3

The tuning process

6The tuning process and parameters🔒7LoRA and efficient tuning🔒8Evaluating the tuned model🔒
Module 4

Eval and deploy

9Deploying and maintaining a tuned model🔒10Bringing the customization approach together🔒