AWS Party Rock, https://partyrock.aws/, is an easy-to-use platform that allows you to build Generative AI-powered apps in minutes—no coding required. In this video, we walk through creating a simple app that recommends play places for kids. Let’s break it down into clear steps:
Step 1: Create a New App
Log in to AWS Party Rock with your Google, Apple, or AWS account. Start by creating a new app from a prompt or scratch. In the video, the app is named "Find Play Places".
Step 2: Add Widgets for User Input
You can add input widgets to gather information from users, such as:
Age (with a default value of 5)
Gender
Location
AI models will later use these inputs to recommend play places.
Step 3: Integrate AI Models
You can use multiple AI models to process the input. In the video, the first model generates three recommended places, and the second model selects the best one based on the child's age, gender, and location. For example, the Children's Science Center was recommended for its interactive learning spaces, especially for younger kids.
Step 4: Convince the Child to Go
The third model generates persuasive text to encourage the child to visit the recommended place. In the video, the AI suggests: "Hey buddy, wouldn’t it be cool to explore a place where you can build things, do fun experiments, and even play with robots?"
Step 5: Visualize with an AI-generated Image
An additional AI model creates an image to make the suggestion more appealing. In this case, the image shows a child playing with robots at the recommended venue.
Step 6: Review the Output
Once all models are in action, the app outputs recommendations, reasons, and visuals for the chosen play place.
Step 7: Create an App Using Prompts
In addition to building an app from scratch, AWS Party Rock lets you generate apps using prompts. In the video, the prompt used was "Help me understand a professor's syllabus."
The AI-generated app titled "Syllabus Decoder" allows users to upload a syllabus (PDF), and the AI extracts the key points.
Users can then interact with a chatbot to ask questions, such as office hours or exam details, making this feature extremely useful for quickly understanding dense documents.
Credits and Usage
Currently, AWS Party Rock is free, but credits are limited based on the models' complexity. Users should monitor their credit usage when building apps.
Data Analysis and Limitations
The video also covers the importance of verifying the accuracy of AI-generated outputs. For instance, when analyzing house price data in a separate app, the AI provided an incorrect average house price due to data size limitations. While the logic behind the AI’s steps was sound, the results were inaccurate because it processed only part of the dataset.
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