Want to try for yourself? Find the code on Github → https://github.ibm.com/David-Levy/public-ai-applied-demo/tree/readme
Learn more about the technology → https://www.ibm.com/watsonx

Want to learn how to build a robust AI application? Join technology engineer David Levy as he guides you through creating a pet naming suggestion application using Generative AI and prompting techniques. From setting up a React TypeScript UI to integrating with a Python FastAPI backend, this interactive tutorial will guide you through the process of building a real-world AI project.

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IBM Technology

Learn how to build a full-stack generative AI application using a React UI, a TypeScript Express server, and a Python FastAPI backend. The tutorial walks through setting up an environment, creating a pet naming suggestion app using IBM's Watson X AI for prompt engineering, and integrating a React frontend with a FastAPI backend. Key steps include environment setup, API key management, and prompt engineering using a few-shot examples to obtain desirable LLM outputs.

Code, Generate, Repeat: Building a Full-Stack Generative AI Application