Customer service of a bank
You have examined several data considerations for LLMs, such as the volume and quality of data, the need for accurate labeling, awareness of potential bias, handling storage and processing requirements, and maintaining data privacy.
Taking all these factors into account, consider the scenario of a bank that wants to develop an LLM to handle customer queries via chat, such as account balance inquiries, transactions history, and general banking inquiries.
Which of the following data-related considerations would be most crucial for the company to address in this scenario? Select the two answers that apply.
This exercise is part of the course
Large Language Models (LLMs) Concepts
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