Which term refers to the instructions given to foundation models (FMs) so that the FMs provide a more accurate response to a question?
Answer(s): A
A prompt is the input instruction or query you provide to a foundation model to guide its response, ensuring the model understands the task and delivers a more accurate answer.
Which prompting attack directly exposes the configured behavior of a large language model (LLM)?
Answer(s): D
"Extracting the prompt template" is a type of prompting attack that involves directly exposing the configured behavior or the underlying system prompt of a large language model (LLM). This attack can reveal sensitive details about how the model operates, including its internal instructions or restrictions, which are typically not intended to be disclosed to the user. Such an exposure can compromise the security and reliability of the LLMby making it vulnerable to further exploitation or misuse.
Sometimes generative AI models generate data unrelated to the input or the task.Which term is used for this disadvantage of using generative AI for business problems?
Answer(s): B
Hallucinations refer to cases where a generative AI model produces outputs that are incorrect, irrelevant, or not grounded in the input or real data.
A company builds applications on AWS. The company wants to use a foundation model (FM) to improve developer productivity by reducing the amount of time to write application code.Which solution will meet these requirements?
Amazon Q Developer uses generative AI to provide real-time inline code suggestions, helping developers write application code faster and improve productivity.
A research company implemented a chatbot by using a foundation model (FM) from Amazon Bedrock. The chatbot searches for answers to questions from a large database of research papers.After multiple prompt engineering attempts, the company notices that the FM is performing poorly because of the complex scientific terms in the research papers.How can the company improve the performance of the chatbot?
Domain adaptation fine-tuning allows the FM to better understand the complex scientific terms by training it with domain-specific data, improving its performance on such specialized content. The other options are either insufficient or not directly related to handling complex terminology effectively.
Post your Comments and Discuss Amazon AIF-C01 exam prep with other Community members:
Our website is free, but we have to fight against AI bots and content theft. We're sorry for the inconvenience caused by these security measures. You can access the rest of the AIF-C01 content, but please register or login to continue.