TEST BANK 2026/2027 PRACTICE QUESTIONS AND STUDY
GUIDE COMPLETE ACCURATE EXAM REAL QUESTIONS WITH
WELL ELABORATED ANSWERS WITH DETAILED RATIONALES
(RELIABLE SOLUTIONS) CURRENTLY UPDATED VERSION 2026
EDITION |GUARANTEED SUCCESS A+
generative AI
AI systems that can create new content
large language models (LLMs)
a type of machine learning model that is trained on massive
amounts of text data to understand and generate human-like
language
natural language processing (NLP)
the field of AI concentrated on enabling computers to understand
and engage with human language, mirroring the intricacies of
human communication
chatbots
AI programs designed to engage in natural conversations with
people, providing information, answering questions, and even
offering emotional support
,statistical analysis
a technique employed in AI that involves collecting, organizing,
examining, and interpreting data to identify patterns and make
predictions
AI tools
software programs designed to assist users in performing AI-related
tasks
This is an example of Few-Shot Prompting
Match the example prompts with the technique:
"Write a dialogue between two friends planning a trip."
structured data
data that is organized in a well-defined format and is typically
stored in databases or spreadsheets
,unstructured data
includes text documents, images, videos, audio recordings, social
media posts, and other types of data that do not fit neatly into a
structured format
byte
a unit of digital information
gigabyte (GB)
a unit of digital information equal to approximately one billion
bytes
terabyte (TB)
a unit of digital information equal to approximately one trillion
bytes
hallucinations
an incorrect, misleading, nonsensical, or entirely fabricated output
generated by an AI model
, adversarial attack
deliberate attempts to deceive or manipulate AI systems by
introducing carefully crafted perturbations to the input data
AI drift
the phenomenon where the performance of an AI model
deteriorates over time as the underlying data distribution changes
generative adversarial networks (GANs)
a type of deep learning model that uses an adversarial training
process to create new data
prompt
a user query, command, or input in an AI interface
interface
the means by which users interact with and provide input to AI
models to generate desired outputs, such as text, images, or other
forms of content
specificity
the degree to which prompts are tailored to the individual user's
needs, preferences, and current context