We ran a fun experiment and fine-tuned the LLaMa 3.1 8B model to create a sarcastic chatbot. Here's a complete breakdown of how we did it, and th

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

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2024-12-23 18:30:44

We ran a fun experiment and fine-tuned the LLaMa 3.1 8B model to create a sarcastic chatbot. Here's a complete breakdown of how we did it, and the fun results we got.

Creating a chatbot that feels like a witty, sarcastic friend has been a fun experiment. We set out to build a model that would reply to your inputs with a perfect blend of humor and sarcasm.

This case study covers how we structured the dataset, fine-tuned Llama 3.1, and deployed the chatbot using MonsterAPI, so you can also try building your own unique chatbots.

The crucial part was a good dataset to make the chatbot understand and generate sarcasm. We needed to create a dataset that captured the tone we wanted. Here’s the structure we used, which involved three key columns:

Additionally, we used a text format column to manage metadata, keeping the structure organized for the model during training. Here’s an example: