OpenAI fine-tuning API in Prompt Engineering / GenAI - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to start fine-tuning a model using the OpenAI API.

Prompt Engineering / GenAI

response = openai.FineTune.create(training_file=[1])

Drag options to blanks, or click blank then click option'

A'file-abc123'

Bopenai.File.create()

C12345

DNone

Attempts:

3 left

💡 Hint

Common Mistakes

Passing an integer instead of a string file ID.

Using a file upload function instead of the file ID.

Passing None or empty value.

The training_file parameter requires the file ID string, such as 'file-abc123'.

2fill in blank

medium

Complete the code to list all fine-tune jobs using the OpenAI API.

Prompt Engineering / GenAI

fine_tunes = openai.FineTune.[1]()

Drag options to blanks, or click blank then click option'

Acreate

Blist

Cretrieve

Ddelete

Attempts:

3 left

💡 Hint

Common Mistakes

Using create() instead of list().

Using retrieve() which requires a job ID.

Using delete() which removes a job.

The list() method returns all fine-tune jobs.

3fill in blank

hard

Fix the error in the code to retrieve a fine-tune job by ID.

Prompt Engineering / GenAI

job = openai.FineTune.[1](id='ft-A1B2C3')

Drag options to blanks, or click blank then click option'

Aretrieve

Bcreate

Clist

Dupdate

Attempts:

3 left

💡 Hint

Common Mistakes

Using list() which returns all jobs, not one.

Using create() which starts a new job.

Using update() which modifies a job.

The retrieve() method fetches a fine-tune job by its ID.

4fill in blank

hard

Fill both blanks to create a fine-tune job with a validation file.

Prompt Engineering / GenAI

response = openai.FineTune.create(training_file=[1], [2]=validation_file)

Drag options to blanks, or click blank then click option'

Avalidation_file

B'file-train123'

Cvalidation_file_id

Dvalidation_file_name

Attempts:

3 left

💡 Hint

Common Mistakes

Using incorrect parameter names like 'validation_file_name'.

Passing the wrong variable or literal for the training file.

The training_file parameter requires the file ID string like 'file-train123'. The parameter name for the validation file is 'validation_file', assuming `validation_file` is a variable holding the validation file ID.

5fill in blank

hard

Fill all three blanks to create a fine-tune job with training file, validation file, and model name.

Prompt Engineering / GenAI

response = openai.FineTune.create(training_file=[1], validation_file=[2], model=[3])

Drag options to blanks, or click blank then click option'

Avalidation_file

Bmodel

C'curie'

D'file-xyz789'

Attempts:

3 left

💡 Hint

Common Mistakes

Mixing up parameter names and values.

Using incorrect strings for file IDs or model names.

Forgetting to specify the base model.

The training_file is the file ID 'file-xyz789', the validation_file uses variable 'validation_file' (holding its ID), and model is the string 'curie'.