In this case, a simple chatbot like she interacted with falls under AI. AI companies have marketed AI as synonymous with genAI and especially transformer models like GPTs. However, AI as a field is split into two types: machine learning and non-machine-learning (traditional algorithms).
Where the latter starts gets kind of fuzzy, but think algorithms with hard-coded rules like traditional chess engines, video game NPCs, and simple rules-based chatbots. There’s no training data; a human is sitting down and manually programming the AI’s response to every input.
By an AI chatbot, she’d be referring to something like a large language model (LLM) – usually a GPT. That’s specifically a generative pretrained transformer – a type of transformer which is a deep learning model which is a subset of machine learning which is a type of AI (you don’t really need to know exactly what that means right now). By not needing hard-coded rules and instead being a highly parallelized and massive model trained on a gargantuan corpus of text data, it’ll be vastly better at its job of mimicking human behavior than a simple chatbot in 99.9% of cases.
TL;DR: What she’s seeing here technically is AI, just a very primitive form of an entirely different type that’s apparently super shitty at its job.
What is the difference between an AI chatbot and a non-AI chatbot in this context?
“AI” = Stuff like ChatGPT that use Large Language Models (LLM)
“Non-AI” = Bots that don’t use LLMs.
So without hardcoded I/O choice options à la 20 Questions, how is the latter supposed to function?
In this case, a simple chatbot like she interacted with falls under AI. AI companies have marketed AI as synonymous with genAI and especially transformer models like GPTs. However, AI as a field is split into two types: machine learning and non-machine-learning (traditional algorithms).
Where the latter starts gets kind of fuzzy, but think algorithms with hard-coded rules like traditional chess engines, video game NPCs, and simple rules-based chatbots. There’s no training data; a human is sitting down and manually programming the AI’s response to every input.
By an AI chatbot, she’d be referring to something like a large language model (LLM) – usually a GPT. That’s specifically a generative pretrained transformer – a type of transformer which is a deep learning model which is a subset of machine learning which is a type of AI (you don’t really need to know exactly what that means right now). By not needing hard-coded rules and instead being a highly parallelized and massive model trained on a gargantuan corpus of text data, it’ll be vastly better at its job of mimicking human behavior than a simple chatbot in 99.9% of cases.
TL;DR: What she’s seeing here technically is AI, just a very primitive form of an entirely different type that’s apparently super shitty at its job.