Overview
There are a number of different techniques available in Predibase via the Ludwig framework for building and customizing LLMs, including:
- Zero Shot Learning for using LLMs to solve tasks and answer questions when no ground truth data is available.
- Few Shot Learning for using LLMs to solve tasks by giving it a handful of examples to help guide it.
- Fine-Tuning for modifying the weights of the LLM to adapt it to new data and tasks.
The flowchart below visually presents a simplfiied decision-making process that can be used to decide which customization technique is right for you: