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    Unsupervised Learning

                      AI is trained with unlabelled data (only inputs, no answers). For example, given thousands of
                      pictures of dogs and cats without labels, it groups them into clusters based on similarity, though
                      it does not know their names.
                      In generative AI, unsupervised learning helps models uncover the natural structure of data, such
                      as how words or images are organised.

                                              Supervisor
                        Input Raw Data        Supervisor                    Input Raw Data                   Output
                          Labelled Data

                                      Training Dataset  Desired Output                                             Dog
                          Dog   Dog
                                                             Output
                                                                   Dog
                             Dog                                                              Processing
                                             Processing
                                                                                            •  Unknown Output     Cat
                                                                   Cat                      •  No Training Dataset
                          Cat   Cat

                      EVERYDAY EXAMPLES OF GENERATIVE AI

                      Generative AI is already part of many tools and applications you may encounter in daily life.
                      Some common examples include:
                           Text generation: Produces human-like text by learning from large amounts of written data. It
                         is used to create emails, stories, articles, answers and more. Examples: ChatGPT, Jasper AI,
                         Google Gemini.
                          Image generation: Creates images or artwork based on text descriptions or sample images.
                         It uses patterns learned from millions of pictures to generate new visuals. Examples: DALL·E,
                         MidJourney, Adobe Firefly.
                          Music and  audio  creation: Composes  music  or generates  sound  effects  by  analysing
                         musical styles and patterns. Examples: AIVA, Soundraw, Voicemod AI.

                          Video  generation: AI  can turn text  into  video  clips or help edit  and enhance videos  with
                         creative effects. Examples: Runway ML, Sora (by OpenAI), Pictory.
                          Code generation: Writes, completes or debugs code based on a programmer’s instructions or
                         existing code. Examples: GitHub Copilot, AWS CodeWhisperer, ChatGPT.
                          Games and storytelling: Creates new stories, characters or game plots, making interactive
                         content instantly. Examples: AI Dungeon, NovelAI.

                      BENEFITS OF GENERATIVE AI

                      Generative  AI offers several advantages  that  make  work faster, smarter  and more  creative.
                      Some important benefits include:

                          Content creation: Speeds up writing, designing and editing tasks by generating high-quality
                         text, images, videos and music.

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