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What is one of the key principles of responsible AI when deploying Large Language Models (LLMs) using Azure Databricks?
Maximizing model performance at all costs.
Ensuring transparency and explainability of model decisions.
Deploying models without any human oversight.
Which of the following tools in Azure Databricks can be used to assess and mitigate bias in LLMs?
Unity Catalog
Delta Live Tables
Fairness Indicators
What is a recommended approach to handle hallucinations in LLMs when using Azure Databricks?
Ignore them as they're rare and don't affect model performance.
Use post-processing techniques to identify and correct them.
Deploy the model in production without any safeguards.
You must answer all questions before checking your work.
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