Building a Sarcastic Chatbot: A Case Study in Fine-Tuning and Deployment with MonsterAPI

In this case study, a sarcastic chatbot was developed by fine-tuning the LLaMa 3.1 8B model with a dataset specifically crafted for sarcasm. The dataset included three key columns: System Prompt, User Input, and Assistant Response. MonsterAPI's fine-tuning pipeline and deployment capabilities were utilized to train and deploy the chatbot as an API endpoint. After user testing and iteration, the chatbot provided humorous and sarcastic responses while maintaining a balanced tone. The project highlights the importance of data curation, fine-tuning, and deployment in creating unique chatbots with distinct personalities.

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