Data layer
The Data layer is the bedrock upon which your GenAI systems are built. It’s not just about having data; it’s about managing it effectively to ensure the quality, security, and ethical use of information. Robust data management processes are non-negotiable. Your GenAI systems are only as good as the data they interact with. For example, without enough contextual information, Large Language Models (LLMs) can hallucinate, and too much noise could cause the model to lose information in the middle, as described in the document Lost in the Middle: How Language Models Use Long Contexts (https://arxiv.org/abs/2307.03172). Therefore, you want to make a conscious effort to build and scale your data pipelines (RAG and fine-tuning) to feed the right level of detail and content to enhance your GenAI model’s abilities.
We are going to provide an overview of the high-level components to keep in mind when preparing your data:
- Data quality: Implement...
