Data Engineering and LLMOps¶
This is a work in progress and any feedback is welcome
Table of Contents¶
Data Engineering¶
Data Engineering focuses on managing and analyzing big data. It revolves around five key aspects:
Volume¶
The size and amount of data that companies manage and analyze.
Value¶
The insights and patterns derived from data that lead to business benefits.
Variety¶
The diversity of data types, including unstructured, semi-structured, and raw data.
Velocity¶
The speed at which data is received, stored, and managed.
Veracity¶
The accuracy or truthfulness of data.
Large Language Model Operations (LLM Ops)¶
The emerging field of Large Language Model Operations (LLM Ops) inherits many practices from data engineering. LLM Ops involves the deployment, monitoring, and maintenance of systems using LLMs to manage and build new generation of AI powered applications.
For more in-depth information on LLM Ops, see Resource Name.