Artificial Intelligence - An Overview
In this post, I would like to cover a high level overview of Artificial Intelligence that I found crucial to understand the field of AI and ML from a general perspective. Important Points to know about AI - 1. Learning Input A to output B mappings is Supervised Learning. Can work with both structured and non-structured data. Key Applications - Spam/Not Spam Classification, Detecting Fraudulent Transactions, Speech Recognition in smart speakers like Alexa etc. (taking Audio as input and mapping to Text transcript as output), Language Translation, Online Advertising & Recommendation systems (adv and user info as inputs to click or not as Output), Visual Inspection / Image recognition, Self-driving car (images and sensor info as inputs to objects detected and their positions as output), Text Analytics like Resume screening , Chatbots and Large Language Models (LLM’s) like ChatGPT etc. ( sequence of words as input to the Next word as Output) to generate new text ...