Developing a Child-Friendly Chatbot Using GPT and OpenAI API: A Case Study
The development of modern technology has led to significant advancements in various aspects of society, including the field of artificial intelligence (AI). One of the key breakthroughs in this area is the development of large language models (LLMs), based on massive amounts of textual data. These models enable computers to comprehend and generate human language with an exceptional level of coherence and accuracy. Examples of popular language models include OpenAI's ChatGPT systems, which have found wide-ranging applications across industries-from automating customer support to creating creative content. Their ability to generate contextually appropriate responses makes them suitable for diverse scenarios. This paper provides a detailed description of the process of creating a chatbot based on the GPT-3.5 model. It outlines the steps involved in building the chatbot and connecting the model via OpenAI's API, using prompt engineering techniques. The outcome is a customized chatbot capable of generating responses suitable for children, with a special emphasis on comprehensibility and an adjusted linguistic style.
Authors
- Sanja Čandrlić (ORCID: https://orcid.org/0000-0003-1272-093X)
- Martina Ašenbrener Katić (ORCID: https://orcid.org/0000-0002-7321-470X)
- J. Bernetic
Institutions
- University of Rijeka (HR)
Publication Details
- Published
- 2025-06-02
- DOI
- https://doi.org/10.1109/mipro65660.2025.11131927
- Primary Topic
- AI in Service Interactions
- Type
- article
- Field-Weighted Citation Impact
- 0.00