Fine-Tuning versus RAG - Fitment Analysis

Explores how Fine-Tuning versus RAG address Large Language Model (LLM) challenges such as hallucination, private data, and recency, enabling better responses and guiding businesses to choose the right approach.

After completing this Pathway, you will be able to:

• Utilise improved LLM response through RAG and Fine-Tuning
• Organise right fitment for the approaches