AI product leaders - Are you struggling with feature adoption?
Prompt optimization and switching to the latest LLM isn't enough to build a truly useful AI feature.
The opportunity is customer-specific, contextual data and there are two main approaches to leveraging this:
- Fine-tuning your LLM for each customer
- RAG (retrieval augmented generation)
This article covers each approach in great detail, and shares how you should think about each approach so you can ship production-ready AI features.
Read nowπ
RAG vs. Fine-tuning for B2B Applications