It's a python library for stitching together existing APIs for AI models.
Regarding 3)
It means that rather than training a new model that does your thing you use existing models and combine them in interesting ways. For example, AutoGPT works roughly like this: Give it a task, it then uses the ChatGPT API to create a plan to achieve the task. It tries to do the first item in the plan by picking a tool from a preconfigured toolbox (google search, generate an image using stablediffusion, use some predefined prompts, ...) afterwards it assesses how far it got and updates the task list and loops until the task is done.
Regarding 4)
Some can run on your machine, some run in the cloud and you'll need to pay and get an API key.
It's a python library for stitching together existing APIs for AI models.
Regarding 3)
It means that rather than training a new model that does your thing you use existing models and combine them in interesting ways. For example, AutoGPT works roughly like this: Give it a task, it then uses the ChatGPT API to create a plan to achieve the task. It tries to do the first item in the plan by picking a tool from a preconfigured toolbox (google search, generate an image using stablediffusion, use some predefined prompts, ...) afterwards it assesses how far it got and updates the task list and loops until the task is done.
Regarding 4)
Some can run on your machine, some run in the cloud and you'll need to pay and get an API key.