EFFECTIVE PROMPT COMPONENTS LESSON 2 EXAM
Summarizing Text - the process of condensing a longer piece of text into a
shorter, more concise version while retaining the key information and main ideas
Summarizing Code - involves condensing a software program or codebase
into a shorter, more digestible form while preserving its functionality and logic
Text Extraction - the process of automatically identifying and extracting
specific pieces of text or information from a larger document, dataset, or source
Named Entity Recognition (NER) - an NLP task that involves identifying and
classifying named entities (such as names of persons, organizations, locations,
dates, and other proper nouns) within a piece of text
Part-of-Speech (POS) - an NLP task that involves assigning grammatical
categories or tags to each word in a sentence based on its syntactic function and
role within the sentence
Text Classification - an NLP task that involves categorizing text documents
or instances into predefined classes or categories based on their content, themes,
or characteristics
Context - the surrounding circumstances, conditions, or information that
influence the interpretation, meaning, or significance of something
