Extract fine-tuning operations into separate methods for better modul…

[jayesh-tanna]

…arity

Description

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[Copilot]

Pull Request Overview

This PR refactors the fine-tuning sample code by extracting inline operations into separate, reusable methods for better modularity. The main function is streamlined by commenting out most operation calls, allowing users to selectively test specific functionalities.

• Extracted 7 fine-tuning operations into dedicated methods (pause, resume, deploy_and_inference, list_jobs, list_events, list_checkpoints, cancel, retrieve)
• Simplified the main function by replacing inline code with commented calls to the extracted methods
• Applied the same refactoring pattern consistently to both synchronous and asynchronous versions

Reviewed Changes

Copilot reviewed 2 out of 2 changed files in this pull request and generated 3 comments.

File	Description
sample_finetuning_supervised_job_async.py	Extracted async fine-tuning operations into separate methods and simplified main() with commented method calls
sample_finetuning_supervised_job.py	Extracted sync fine-tuning operations into separate methods and simplified main() with commented method calls

[kingernupur]

@jayesh-tanna Can we separate deployment and inference in different methods also in both the files?