Key AI Concepts (2)#

In this chapter, we cover key concepts you’ll frequently encounter when turning a pre-trained LLM into a real product: fine-tuning, RAG, function calling, and MCP.

Fine-tuning#

Fine-tuning is the process of further training a pre-trained model to better fit a specific purpose. Thanks to open-source culture, training datasets and pre-trained models are often publicly available, and you can fine-tune them to improve performance or specialize in a particular domain.