feat(genai): add tuning samples

[jdomingr]

Description

Add new GenAI SDK tuning samples:

• Create tuning job
• Get tuning job
• List tuning jobs
• Predict with tuned endpoint

Checklist

• I have followed Sample Format Guide
• Tests pass: mvn clean verify required
• Lint passes: mvn -P lint checkstyle:check required
• Static Analysis: mvn -P lint clean compile pmd:cpd-check spotbugs:check advisory only
• Please merge this PR for me once it is approved

[snippet-bot]

Here is the summary of changes.

You are about to add 4 region tags.

• genai/snippets/src/main/java/genai/tuning/TuningJobCreate.java:19, tag googlegenaisdk_tuning_job_create
• genai/snippets/src/main/java/genai/tuning/TuningJobGet.java:19, tag googlegenaisdk_tuning_job_get
• genai/snippets/src/main/java/genai/tuning/TuningJobList.java:19, tag googlegenaisdk_tuning_job_list
• genai/snippets/src/main/java/genai/tuning/TuningTextGenWithTxt.java:19, tag googlegenaisdk_tuning_textgen_with_txt

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[gemini-code-assist]

Summary of Changes

Hello @jdomingr, I'm Gemini Code Assist¹! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!

This pull request significantly expands the GenAI SDK's sample coverage by introducing a suite of examples for model tuning. These new samples empower developers to programmatically create, manage, and utilize fine-tuned models, enhancing the SDK's utility for custom AI applications.

Highlights

• New Tuning Samples Added: Introduced a comprehensive set of samples for the GenAI SDK focusing on model tuning functionalities.
• Create Tuning Job: Added a sample demonstrating how to initiate a supervised fine-tuning job using specified training and validation datasets.
• Retrieve Tuning Job Details: Included a sample to fetch and display the details of an existing tuning job.
• List All Tuning Jobs: Provided a sample that illustrates how to list all available tuning jobs within the project.
• Predict with Tuned Endpoint: Developed a sample showcasing how to perform predictions using an endpoint associated with a fine-tuned model.

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[gemini-code-assist]

Code Review

This pull request adds several new samples for the GenAI SDK's tuning capabilities, along with corresponding tests. The new samples for creating, getting, and listing tuning jobs, as well as predicting with a tuned model, are well-structured and clear. The tests provide a good foundation, but I've identified a couple of areas where they can be improved to more thoroughly cover the sample code's logic. I've also included a minor suggestion for code efficiency in one of the samples. Overall, this is a great addition.