A Generative Al Engineer is building an LLM-based application that has an important transcription (speech-to-text) task. Speed is essential for the success of the application
Which open Generative Al models should be used?
Correct Answer:
D
Which indicator should be considered to evaluate the safety of the LLM outputs when qualitatively assessing LLM responses for a translation use case?
Correct Answer:
D
A Generative Al Engineer is using an LLM to classify species of edible mushrooms based on text descriptions of certain features. The model is returning accurate responses in testing and the Generative Al Engineer is confident they have the correct list of possible labels, but the output frequently contains additional reasoning in the answer when the Generative Al Engineer only wants to return the label with no additional text.
Which action should they take to elicit the desired behavior from this LLM?
Correct Answer:
D
A Generative AI Engineer is developing a chatbot designed to assist users with insurance- related queries. The chatbot is built on a large language model (LLM) and is conversational. However, to maintain the chatbot??s focus and to comply with company policy, it must not provide responses to questions about politics. Instead, when presented with political inquiries, the chatbot should respond with a standard message:
??Sorry, I cannot answer that. I am a chatbot that can only answer questions around insurance.??
Which framework type should be implemented to solve this?
Correct Answer:
A
A Generative Al Engineer is deciding between using LSH (Locality Sensitive Hashing) and HNSW (Hierarchical Navigable Small World) for indexing their vector database Their top priority is semantic accuracy
Which approach should the Generative Al Engineer use to evaluate these two techniques?
Correct Answer:
A