GenAI

Question 1

AI

Answer 1

AI ->? science , for machine to mimimc human cogintive behaviour , self driving , recomendations engoine

ML- >. subset of AI and based on data + alogoritham to minimc human cognitivive behanviour

DL -> subset of ML based on nural network to perform and task with little human interventions

GA -> text, video , audio , code , diagram etc..

Question 2

Learning

Answer 2

Supervised learning
- labeleed data (classfifications / regressions spam email )

y = f(x)

x= input

y = output

f -> algoritham (Model)

train that model with traiing data

unsupervised learning : - no labbeled

pattern and insights

clustering and associations (cross sells / upsells

reinforced learning ->

learning by itself based on reward and punishment model

Question 3

ANN

Answer 3

input layer -> hidden layers (input and out put -> output layers

mimic human brain