ITM 209 Artificial Intelligence
What is Artificial intelligence
-technology, not specific to software or hardware -requires software and a database to communicate with it, and hardware to run it
How does machine learning work
data is gathered through human input,
Primary role of AI
interpret, analyze and respond to data (input given ie. typing or speaking)
Deep learning
is the most specific form of AI, subcategory of machine learning, allows us to model the human brain and teach the AI context of the situation, requires a lot of computer power
AI moves from
literal language to figurative language, and denotation to connotation
What are Neural Networks
-a computer system that models the human brain through the use of artificial neurons -utilizes AI, ML, DL NLP and NLU
Confidence scores
-range between 0-1 (1 being most accurate) -tells how accurate match need to be
machine learning purpose
-reduce the time needed to train an AI model -allows AI to get more intelligent over time -increase the size of the database
Literal Language
A form of language in which writers and speakers mean exactly what their words denote.
Natural Language Processing (NLP)
A technology that converts human language (structured or unstructured) into data that can be translated then manipulated by computer systems; branch of artificial intelligence
What components are needed for NLP
AI, ML, DL
Figurative language
Writing or speech that is not intended to carry literal meaning and is usually meant to be imaginative and vivid.
Connotation
an idea or feeling that a word invokes in addition to its literal or primary meaning.
Parameters
control and limit the actions of the AI
Current use for deep learning
predicting earthquakes, data augmentation, brain cancer detection, stock market predictions, crime pattern analysis
When is NLP needed/used
required for speech recognition, transcription, translation, allows for normal conversations, anytime "emotion" is expressed by the AI
Machine Learning
the extraction of knowledge from data based on algorithms created from training data
Denotation
the literal meaning of a word
What are the four questions NLU tries to answer?
what is being said, how it is said, why they said it, and what are the implications