Artificial intelligence Flashcards
data utilization
AI systems rely heavily on large data sets to learn, make predictions, and automate tasks
What are the three characteristics all AI share?
data utilization, learning and adaptation, automation
Learning and adaptation
AI systems have the ability to learn from data and adapt their behaviour over time
Automation
AI systems can automate tasks and make decisions without direct human intervention, increasing effeciency
training data
AI systems learn through diverse data sets during their initial training to acquire knowledge
Input data
AI systems analyze incoming data. This data typically comes from human users
Output data
AI produces predictions, recommendations, or decisions as output
neutral net
type of machine learning, modelled after how humans learn
Step 1
training data set. Massive data set to classify things
Step 2
Learning algorithm. Data sets will reinforce privilege
step 3
classification. system will decide how confident they are on their classification
supervised system
human showing a system what something is
Unsupervised system
system recognizes patterns by themselves, will do this through huge data sets
Foundation models
model that uses data set that allows us to build on top of it. often biased
Core AI models
Foundational model feature. fundamental machine learning models serving as the building blocks for various AI applications
versatility
Foundational model feature. designed for a wide range of tasks, from natural language processing to computer vision
pre-trained knowledge
Foundational model feature. trained on extensive data, enabling faster development of AI systems
Customization
Foundational model feature. can be fine-tuned for specific applications and industries
generative AI
machine learning systems that take input data and will generate something new
