Question

A retail company wants to deploy a customer-facing chatbot that answers general product questions using everyday conversational language. The AI Transformation Leader must decide between using a pretrained foundation model as-is versus investing in a fine-tuned model. The team has limited budget, no specialized dataset, and needs to launch within two weeks. General language understanding is sufficient for the use case. Which approach delivers the best business value given these constraints?

Accepted Answer

Use the pretrained foundation model as-is, since it already handles general conversational language and avoids the time and cost of fine-tuning.

Answer

Fine-tune the model on a large purchased third-party dataset to maximize response accuracy before launch.

Answer

Fine-tune the model using the small amount of internal chat logs available to guarantee brand-specific tone.

Answer

Delay the project until a specialized, labeled training dataset can be assembled for fine-tuning.