How we leveraged distilabel to create an Argilla 2.0 Chatbot
Discover how to build a Chatbot for a tool of your choice (Argilla 2.0 in this case) that can understand technical documentation and chat with users about it.
In this article, we’ll show you how to leverage distilabel and fine-tune a domain-specific embedding model to create a conversational model that’s both accurate and engaging.
This article outlines the process of creating a Chatbot for Argilla 2.0. We will:
- create a synthetic dataset from the technical documentation to fine-tune a domain-specific embedding model,
- create a vector database to store and retrieve the documentation and