feat: create an azure-ml pipeline for eval_prompts()

[anujsinha3]

Change Description

Created an azure-ml pipeline for eval_prompts()
closes #35

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[codecov-commenter]

Codecov Report

All modified and coverable lines are covered by tests ✅

Comparison is base (7891902) 97.85% compared to head (364aa18) 97.32%.

❗ Current head 364aa18 differs from pull request most recent head d3105e8. Consider uploading reports for the commit d3105e8 to get more accurate results

Additional details and impacted files

@@            Coverage Diff             @@
##             main      #36      +/-   ##
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- Coverage   97.85%   97.32%   -0.54%     
==========================================
  Files           5        5              
  Lines         233      224       -9     
==========================================
- Hits          228      218      -10     
- Misses          5        6       +1     

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[carlosgjs]

Just one comment inline.

Also, can you add a link to a run of this workflow in the description of the PR?

[carlosgjs]

Let's make the prompts file its own input parameter. This will make it easier to run experiments.

[anujsinha3]

should I parameterize the data file as well? The default value can be 'data.jsonl' but a user can modify input if they want. WDYT?

[anujsinha3]

Example run with test LLM model: https://ml.azure.com/experiments/id/e1882f37-87e8-4ff9-930a-7aa050693072/runs/great_corn_qbslxrsxyn?wsid=/subscriptions/e4f4cccd-ac89-41b8-aae6-896e5a8471e4/resourcegroups/AutoRADoc/workspaces/AutoRAML&tid=f6b6dd5b-f02f-441a-99a0-162ac5060bd2