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BONUS BYTE - 2


                                                     DISCOVERING GENERATIVE AI







                        Hello Children, let’s explore Generative       WHAT IS GENERATIVE AI?
                        AI, a technology that creates new images,
                        text and music using artificial intelligence.  Generative  AI is  a subset  of artificial
                                                                       intelligence  that  creates  new content,  such
                                                                       as  text,  images,  audio  or video,  by  using
                                                                       machine  learning models.  Some  of the
                                                                       applications of generative AI include:













                       Content Creation        Image Generation          Text-to-Speech           Product Design


                       Writing articles,        Creating visual            Converting              Generating
                       generating code            art, design             written text            designs for
                       or composing             prototypes or            into spoken            products, such
                          music.               photorealistic            language.              as clothing or
                                                 images.                                       architecture.


                 HOW DOES GENERATIVE AI WORK?

                 Generative AI works by analysing large amounts of data to find patterns and structures. Once

                 trained, it can use this knowledge to produce new outputs that are similar in style or structure to
                 the original data, but not exact copies.
                 It uses different machine  learning techniques,  the  most  common  of which are  supervised
                 learning and unsupervised learning.


                 Supervised Learning

                 AI is trained with labelled data (inputs + correct outputs). For example, it learns to distinguish
                 between dogs and cats by studying thousands of labelled pictures. Later, it can correctly classify
                 new images.
                 In generative  AI, supervised  learning helps  models  map  relationships,  such  as  matching  a

                 question with an answer or translating English into Hindi.




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