AI-900 Question 272
Single answerA company wants to create a customer support chatbot using Azure OpenAI Service. The chatbot should generate human-like responses to user queries in natural language. Which natural language generation capability of Azure OpenAI Service can help achieve this?
- A
Fine-tuning pre-trained large language models to respond contextually
- B
Real-time speech-to-text conversion for voice-based interactions
- C
Image recognition for identifying visual patterns
- D
Translation of text from one language to another
Show answer and explanation
Correct answer: A
Explanation
Natural language generation (NLG) in Azure OpenAI Service involves using pre-trained large language models, such as GPT, to generate coherent and human-like text based on input. Fine-tuning these models enables customization for specific use cases, such as creating a customer support chatbot that can produce meaningful, contextually relevant responses.
- A. Correct.
This is correct. Fine-tuning pre-trained large language models, such as GPT models available in the Azure OpenAI Service, allows the chatbot to generate contextual, human-like responses based on user input.
- B. Incorrect.
This is incorrect. Real-time speech-to-text conversion is not a natural language generation capability; it is related to speech recognition, which is a different AI domain.
- C. Incorrect.
This is incorrect. Image recognition is not related to natural language generation and falls under computer vision capabilities.
- D. Incorrect.
This is incorrect. While translation is a natural language processing (NLP) feature, it is not directly related to generating human-like text responses, which is the key focus in this scenario.