Introduction
Pipelines are built for generic usecases, which combine multiple frameworks to solve a particular problem with a Large Language Model (LLM).
Pipelines workflow: - consist of two or more Frameworks. - could have one or more Datasources. - could have preprocessing and post processing steps on prompts and response from LLM. - is developed by NEXTgpt contributors.
Types of Pipelines
Please check the sub sections for different types of Pipelines and how they can be used.