Databricks Generative AI Engineer Associate Question 155
Single answerYou are tasked with building a customer support chatbot for a global e-commerce platform. The chatbot must handle multiple languages, provide accurate and contextual responses to user queries, and ensure quick response times. Which large language model (LLM) would be the most appropriate choice for this application?
- A
An LLM specialized in code generation and debugging
- B
A multilingual LLM fine-tuned for conversational tasks
- C
A general-purpose LLM without fine-tuning for specific tasks
- D
A domain-specific LLM trained exclusively on legal documents
Show answer and explanation
Correct answer: B
Explanation
The best LLM for this scenario is a multilingual LLM fine-tuned for conversational tasks. This ensures it can handle customer queries in multiple languages, provide contextual responses, and meet the requirements of a global e-commerce customer support chatbot. Fine-tuning for conversational tasks ensures the model is optimized for dialogue, making it more effective in this application compared to general-purpose or domain-specific LLMs.
- A. Incorrect.
An LLM specialized in code generation and debugging is not suitable for a customer support chatbot, as its primary focus is on programming languages and technical tasks rather than conversational or multilingual capabilities.
- B. Correct.
A multilingual LLM fine-tuned for conversational tasks is the most appropriate choice because it can handle multiple languages, provide contextually accurate responses, and is optimized for conversational use cases.
- C. Incorrect.
A general-purpose LLM without fine-tuning may lack the specific capabilities needed for high-quality conversational performance and multilingual support.
- D. Incorrect.
A domain-specific LLM trained exclusively on legal documents is unsuitable as it is not designed for conversational use or handling e-commerce-related queries.