Glossary term
What is Model?
In Apex Flow Academy, "Model" means: The engine under the assistant that produces the text. Companies release new models often. It is taught in ChatGPT and AI Assistants at Work, Machine Learning With Python: From Zero to a Working Model and Prompt Engineering Essentials. Related terms include Response, Hallucination, Prompt and Context.
- 3 courses teach it
- plain-word definition
The facts
What is Model?
The engine under the assistant that produces the text. Companies release new models often. (From ChatGPT and AI Assistants at Work. 2 other courses define it for their own subject, so each definition follows.)
What does Model mean in ChatGPT and AI Assistants at Work?
The engine under the assistant that produces the text. Companies release new models often.
What does Model mean in Machine Learning With Python: From Zero to a Working Model?
A pattern a computer learns from past examples, which it then uses to guess an answer for a new row.
What does Model mean in Prompt Engineering Essentials?
The program behind an AI tool. It was trained on a large amount of text and writes by predicting what words should come next.
Where is Model taught?
Model is defined in ChatGPT and AI Assistants at Work, Machine Learning With Python: From Zero to a Working Model and Prompt Engineering Essentials.
ChatGPT and AI Assistants at WorkMachine Learning With Python: From Zero to a Working ModelPrompt Engineering Essentials
Which lessons cover Model?
These lessons name it in their title or objectives:
- Machine Learning With Python: From Zero to a Working Model, lesson 1.1: A model is a pattern learned from examples
- Machine Learning With Python: From Zero to a Working Model, lesson 1.3: Your first model: fit, then predict
- Machine Learning With Python: From Zero to a Working Model, lesson 2.3: Turn words into numbers with one-hot columns
- Machine Learning With Python: From Zero to a Working Model, lesson 2.4: Put numbers on the same scale
- Prompt Engineering Essentials, lesson 1.1: What a Prompt Is and What the Model Does With It
- Prompt Engineering Essentials, lesson 2.2: Give the Context the Model Cannot Guess
- Prompt Engineering Essentials, lesson 2.4: Let the Model Ask You Questions First
- Prompt Engineering Essentials, lesson 3.1: Ask for the Format You Need
Which terms are related to Model?
Next to Model in the course glossaries: Response, Hallucination, Prompt, Context, AI assistant, Context window, Temporary chat, Feature, Label (target) and Row.
ResponseHallucinationPromptContextAI assistantContext windowTemporary chatFeatureLabel (target)Row
The hard questions, answered straight
Bold questions people really ask. Each answer comes from the course data or a settled Academy fact.
Do I need experience before I learn Model?
It depends on the course. Each course that teaches it lists its own prerequisites, and all are listed at beginner level:
- ChatGPT and AI Assistants at Work: No coding, statistics or earlier AI experience needed.
- Machine Learning With Python: From Zero to a Working Model: Basic Python: variables, lists, dictionaries, functions, and running a .py file from a terminal.
- Prompt Engineering Essentials: No coding, statistics or prior AI experience needed.