CAIC Natural Language Processing & AI Applications Flashcards
6 cards from real CAIC practice questions. Tap to flip, then mark Knew It or Still Learning — missed cards come back until you master them.
Read the first 6 CAIC Natural Language Processing & AI Applications flashcards as text
Which NLP technique splits text into individual words or tokens for further processing?
Answer: Tokenization
Tokenization is the process of breaking text into individual words, phrases, or symbols called tokens.
What does TF-IDF measure in text analysis?
Answer: Word importance relative to a document corpus
TF-IDF (Term Frequency–Inverse Document Frequency) quantifies how important a word is to a document relative to a collection of documents.
Which model architecture introduced the concept of self-attention and became the foundation for large language models?
Answer: Transformer
The Transformer architecture, introduced in the 2017 paper 'Attention Is All You Need,' uses self-attention mechanisms and underpins modern LLMs.
What is 'prompt engineering' in the context of AI consulting?
Answer: Designing input instructions to guide LLM outputs effectively
Prompt engineering is the practice of crafting and optimizing text inputs to elicit accurate, relevant, and controlled responses from large language models.
Which evaluation metric is commonly used to assess the quality of machine-generated text against reference text?
Answer: BLEU score
BLEU (Bilingual Evaluation Understudy) score compares n-gram overlap between generated and reference text and is widely used for NLP tasks like translation.
What is the primary business use case for sentiment analysis in an AI consulting engagement?
Answer: Extracting customer opinions from reviews or social media
Sentiment analysis classifies text as positive, negative, or neutral, enabling businesses to gauge customer satisfaction and brand perception at scale.