Part 1 What's a Chatbot??

Large Language models take everything from the internet to generate their own answers to questions, poems, stories, etc.  Predictive AI is artificial intelligence that "predicts" or guesses what the answer is based off of what information is currently on the internet.  Generative AI is artificial intelligence that takes information from the internet and generates it's own, unique answer, based off of what it knows.  It can create poems, stories, lessons, and more based on your specific parameters.  

Large Language models are not just trained on one specific task, but on the most information possible to then be able to generate new information from it. 

Predictive AI uses previous knowledge and patterns to predict future outcomes. Generative AI creates brand new content of texts or images

Large Language Models use large amounts of data, such as everything available on the Internet, to create completely new data such as a conversation. It works in a way that is much more complex than other forms of AI. This is a form of Generative AI, which uses patterns that it has learned to create something that is new. It can use past data to match styles while also making a new text. Predictive AI uses patterns of the past to predict what may happen in the future. 

       Large Language Models are advanced artificial intelligence systems trained in human text to understand and interact in human language. They work by recognizing patterns in words and context, allowing them to answer questions, create content, translate, and simulate conversation in a natural way
       Generative AI creates text, images, music, or designs—based on patterns it learned during training, creating never before seen content. Predictive AI focuses on outcomes by analyzing existing data, such as predicting stock prices, customer behavior, or equipment failures.

Is an AI that uses language models to simulate and understand human conversations to provide helpful responces that seem natural like human conversations.

Large Language Models are computer programs that have been trained to understand and generate human-like language. They learn by reading huge amounts of text and then use that knowledge to answer questions, write sentences and have conversations.

Generative vs Predictive AI: Predictive AI looks at data and tries to guess what will happen next.  Generative AI, on the other hand, creates something new—like writing a story, making a picture, or composing music. So, predictive AI guesses the future based on patterns, while generative AI makes something based on what it has learned.

Large Language Models are a type of artificial intelligence (AI) trained to understand and generate human language. They learn by analyzing huge amounts of text from books, websites, and other sources. They work by predicting what words (or parts of words) are most likely to come next in a sentence, based on patterns they learned.
 Generative AI creates new content.  Predictive AI predicts outcomes based on data.

A large language model are models that have impressive abilities that generate content based on training,  and previous data. A tool used to help someone. Examples include time management, providing data and answers, and creating conversation. This is all done from using the Internet to help these platforms do so.  

The main difference between generative AI and predictive Al is simple, predict vs create. When you predict something, you are using prior knowledge to help come up with your answer. To predict is to estimate off of what you already know. Thats what predictive AI is. The concept of producing content from previous patterns. Almost imitating in a way.
On the other hand, the word create means to make something from inspired ideas or from "scratch". This is the concept of what generative AI is, content is produced based off using creativity and resources to come up with something new. 

Large Language Models are a type of AI that can understand and create human text. They’re trained on written information so they can answer questions, help write things, and chat with people like a real person would.

Generative AI and predictive AI are similar but slightly different. Generative AI makes new things, like writing a story or creating an image. Predictive AI, on the other hand, is more about guessing what will happen like the next word you’ll type. 

Large Language Models are computer programs that have read a huge amount of text, like books, websites, and articles, so they can learn how people use language. Once trained, they can respond to questions, write stories, summarize information, or chat with people—almost like talking to a very smart robot. They don’t think or feel, but they’re good at guessing what words should come next in a sentence based on everything they’ve learned.

Generative AI is like an artist who creates a new painting from scratch after studying lots of other paintings—it makes something new, like a story, picture, or song. Predictive AI is more like a weather forecaster who looks at past weather data to guess what the weather will be tomorrow—it makes predictions based on patterns. So, generative AI creates, while predictive AI predicts.