Is Fine-Tuning or Prompt Engineering the Right Approach for AI?

We previously discussed how building a RAG-based chatbot for enterprise data paved the way for creating a comprehensive GenAI platform. That article highlighted the growing need for enterprises to develop AI solutions tailored to their specific needs.

As AI adoption accelerates, organizations face a critical decision: Should they rely on prompt engineering for quick solutions or invest in fine-tuning models for deeper customization?

Let’s explore the differences between these two approaches, learn from early adopters and outline the…