AI-900 · Question #283
AI-900 Question #283: Real Exam Question with Answer & Explanation
The correct answer is B: grounding. Grounding is the process of using large language models (LLMs) with information that is use- case specific, relevant, and not available as part of the LLM's trained knowledge. It is crucial for ensuring the quality, accuracy, and relevance of the generated output. While LLMs come
Question
Which term is used to describe uploading your own data to customize an Azure OpenAI model?
Options
- Acompletion
- Bgrounding
- Cfine-tuning
- Dprompt engineering
Explanation
Grounding is the process of using large language models (LLMs) with information that is use- case specific, relevant, and not available as part of the LLM's trained knowledge. It is crucial for ensuring the quality, accuracy, and relevance of the generated output. While LLMs come with a vast amount of knowledge already, this knowledge is limited and not tailored to specific use- cases. To obtain accurate and relevant output, we must provide LLMs with the necessary information. In other words, we need to "ground" the models in the context of our specific use-
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