Generative AI in a Nutshell Notes

• started off as machines that execute instructions, now learn and think like humans
• compare your computers to Einstein in the age of ai
• we have to grow our imagination and prompt engineering skills
• artificial intelligence
• scanning your credit card
• generative ai makes content 
• you have to give generated ai information to get more information back 
• dog example (dogs are? vs dogs are animals...)
• unsupervised generative pre-training is shown through the ai's ability to predict what we are going to type next
• GPT = generative pre-training transformer
• there are different types of generative ai that create different content (text image models, image to image, speech to text, etc) 
• there are different ai's esp. on ChatGPT that are newer and older depending on the version
• reason for old or newer information
• artificial intelligence is always learning and their improvement is increasing at an exponential rate compared to humans
• think of ai as your colleague (you + ai = positive results)
• good prompts state the task, give context, and tell it to ask you questions
• ai is a useful tool that can help you and your company
• experiment with ai