Skip to main content

Example 1

In this example we create a set of agents with different survey contexts (face-to-face vs written survey, with different amounts of time elapsed) and compare their responses to the same question: Selecting models:
Creating agents:
Constructing a question:
Inspecting the prompts that will be used when the job is run:
Running the job:
Checking the components of results that have been generated:
Inspecting results:

Example 2

In this example we create a single agent and use scenarios to modify the question that we administer to the agent.

Example 3

In this example we prompt an agent to answer several questions at once, for purposes of comparing individual responses generated with question memory.
Comparing individual responses:
Applying full memory of prior questions:
Inspecting the prompts:

Example 4

In this example we prompt an agent to note salient features of textual content and images. We start by posting some content and images to Expected Parrot so that they can be accessed by others:
Output:
Here we retrieve the file and use it in a scenario in order to add it to questions:
We need to use a vision model with images, and verify that the model can actually “see” the images that we are using:

Posting this notebook to Expected Parrot:

Updating an object at Expected Parrot: