Exam AWS Certified AI Practitioner AIF-C01 topic 1 question 64 discussion

Domain adaptation fine-tuning is a method where the foundation model (FM) is fine-tuned on a specific domain's dataset, allowing the model to better understand and handle specialized language or complex terms relevant to that domain. In this case, since the chatbot is struggling with complex scientific terms in the research papers, fine-tuning the model on a corpus of research papers with similar scientific terminology will help it perform better in answering questions related to these terms.

B. Use domain adaptation fine-tuning: Domain adaptation fine-tuning involves customizing the foundation model (FM) to perform better in a specific domain (in this case, research papers with complex scientific terms). By fine-tuning the FM on a corpus that includes more examples of the complex terminology and context of the research papers, the model will become better at understanding and generating appropriate responses. This improves its performance with domain-specific language

Domain Adaptation fine-tuning helps for industry-specific terminology based solutions.

Answer: B. Use domain adaptation fine-tuning to adapt the FM to complex scientific terms. Explanation: Domain Adaptation Fine-Tuning involves training the foundation model (FM) further on domain-specific data—in this case, complex scientific terms and research papers. This process helps the model better understand and accurately respond to specialized language and concepts, thereby improving the chatbot's performance in handling intricate scientific queries.

B. “After multiple prompt engineering attempts” means few-shot prompt has tried or? So A is not the correct one.

A is correct

Domain adaptation fine-tuning allows you to fine-tune the foundation model (FM) on a dataset that includes examples of the specific domain, in this case, scientific papers with complex terms. This way, the model can better understand and handle the specialized terminology, improving its accuracy when answering domain-specific questions.