About
What is Data-centric AI (DCAI)?
- DCAI is an emerging field that focuses on engineering data to improve AI systems with enhanced data quality and quantity.
- DCAI shifts our focus from model to data.
- It is important to note that "data-centric" differs fundamentally from "data-driven", as the latter only emphasizes the use of data to guide AI development, which typically still centers on developing models rather than engineering data.
Why DCAI?
- Many major AI breakthroughs occur only after we have the access to the right training data.
- Large and high-quality training data are the driving force of recent successes of GPT models, while model architectures remain similar, except for more model weights.
- When the model becomes sufficiently powerful, we only need to engineer prompts (inference data) to accomplish our objectives, with the model being fixed.
