AI & Technical
Fine-Tuning
Training an existing AI model on domain-specific data to improve its performance.
Fine-tuning is the process of continuing to train a pre-trained LLM on a curated dataset specific to your domain, product, or tone. It can make the model more accurate for specialised topics and more consistent in its persona. However, fine-tuning is expensive, requires labelled data, and needs to be repeated when the base model is updated. For most website chat agent use cases, well-crafted system prompts and RAG achieve better results than fine-tuning at a fraction of the cost.
Related Terms
Large Language Model (LLM)
The AI model that powers intelligent, context-aware chatbot responses.
System Prompt
Instructions given to an AI model that define its persona, rules, and behavior.
Retrieval-Augmented Generation (RAG)
Enhancing AI responses by retrieving relevant documents before generating an answer.