Part 1 What's a Chatbot??

A large Language Model is a type of A.I. that is trained by using the largest amount of data as possible. This means that it can be trained using everything that is available on the internet. Then it uses its training to generate new information. Generative AI creates new information such as text and images. Whereas predictive AI creates predictions based on previous data it has analyzed. Basically, Generative AI creates new things and Predictive AI analyzes existing data to predict the future.

Large language models are AI systems that are trained to generate responses that appear and seem human-like.
Generative AI generates new responses based on what it is asked to do as well as how it gets trained through exposures and patterns that it learns. Predictive AI uses its data to make predictions about future events. 

In a short paragraph or two, respond to each prompt:
Explain what Large Language Models are
Describe the difference between generative and predictive AI. 

    In AI, a "Large Language Model" (LLM) is a type of artificial intelligence program that can generate and understand human-like text by analyzing vast amounts of data, allowing it to perform tasks like writing different kinds of creative content, translating languages, and answering questions in an informative way; essentially mimicking human intelligence through language.

   The difference between generative and predictive AI is that generative AI creates new content, while predictive AI predicts future outcomes. Generative AI is experimental. It creates new content like images, music, and marketing campaigns. It uses large datasets to create new content like writing. Predictive AI predicts future outcomes based on existing data. It uses data analysis to forecast future events, like forecasting marketing campaign success, and making financial decisions.

Large Language Models are a form of technology that uses probabilty to predict the text that you have asked for based on previous text that the technology has reviewed. It is important that it can often get things wrong, or provide information that is bais or dangerous. Some argue that it is not actual “intelligence,” however the applications can be amazing! For example, discovering new drugs and being used to produce movies. 

Generative AI creates new content, while predictive AI predicts future outcomes.

Large language models are AI systems that use large quantities of written data to give a written response for any given prompt(s).  Generative AI uses data to create new product (presentation, notes to study or help with writer's block.  While Predictive AI makes a prediction on specific given prompts. Both types of AI system have the potential to making impacts in the research of medicine or helping educators get more assistance in teaching.

Large Language Models are chatbots like ChatGPT that are not necessarily trained on a specific task, but uses the largest amount of information possible to generate new information. Some examples are how to write essays, poems, conversations, and even code. These type of chatbots use probability to basically guess what answers people are looking for. 

The difference between Predictive AI and Generative AI is the idea of using content out there, vs. creating new content. Predictive analyzes information out there to "predict" or forecast what might happen/create answers. Generative AI gathers content from all over the internet and generates NEW information. The issue with this is that it can include fake news, bias, etc. so the outcome can still be error. Both still need human checking in order to avoid disinformation. 

• Explain what Large Language Models are

- Large language Models are trained on the largest amount of information possible, such as everything available on the internet. It generates new info through training. It is a broad model that provides much more context and probabilities. 

• Describe the difference between generative and predictive AI. 

Generative-  Creates new contently using data...can also identify trends in the data

Predictive -  utilizes data to predict future events and is generally more accurate than other ways 

1. Large Language Models are a type of AI that are trained on all available information available on the internet - and then use the training to generate new information. For example, after being trained, LLMs can write essays, emails, stories, etc. This is accomplished using statistical probabilities and context to help train the AI, and then human input to help the AI refine further.

2. Generative AI is trained on larger samples of data in order to create brand new content. Predictive AI is typically given smaller more specific samples of data and uses this information to predict future outcomes. Both types of AI use algorithms and statistical probabilities to accomplish this.

LLMs are trained using vast amounts of information sourced from across the internet. They rely on mathematical probabilities to produce new text, such as sentences, paragraphs, or stories. This process is inspired by how neurons in the brain work, which is why these models are called Neural Networks. Generative AI uses the patterns and data gathered by Predictive AI to create new content. Predictive AI identifies patterns from past information, and Generative AI then builds on this to generate new outputs, like images or text. However magical it seems, AI still requires "human tuning" to produce reasonable results. 

Large Language Models are tools used to gather human input and use historical datas to generate human like responses based on gathered information.

Predictive AI is a forecast based in historical data 
Generative AI is a creation of new content based on existing data

Explain what Large Language Models are:
A large language model is trained on the target amount of information possible in order to create new information. A large language model is a type of AI that uses deep learning to understand and generate human-like text. 

Describe the difference between generative and predictive AI. 
Generative AI creates new content by learning from existing data patterns. Predictive AI uses a learning method that analyzes historical data to predict future outcomes. In other words, the biggest difference between generative and predictive AI is that generative AI focuses on creating new content, while predictive AI focuses on predictions.