Anna University Plus Technology: Artificial Intelligence and Machine Learning. Fine-tuning LLMs vs RAG - Which Approach for Production?

Fine-tuning LLMs vs RAG - Which Approach for Production?

Fine-tuning LLMs vs RAG - Which Approach for Production?

 Print Thread
 
  • 0 Vote(s) - 0 Average
 
Admin
Administrator
Find
125
10-11-2025, 04:07 PM
#1
Hi ML community! I'm working on a project that requires domain-specific knowledge for a chatbot. I'm torn between fine-tuning an existing LLM (like Llama or Mistral) versus implementing a RAG (Retrieval-Augmented Generation) system. What are your experiences with production deployments? RAG seems more maintainable but fine-tuning might give better performance. Cost and update frequency are also considerations. Any insights would be appreciated!
Reply
Reply
Admin
10-11-2025, 04:07 PM #1

Hi ML community! I'm working on a project that requires domain-specific knowledge for a chatbot. I'm torn between fine-tuning an existing LLM (like Llama or Mistral) versus implementing a RAG (Retrieval-Augmented Generation) system. What are your experiences with production deployments? RAG seems more maintainable but fine-tuning might give better performance. Cost and update frequency are also considerations. Any insights would be appreciated!

Reply
Reply
 Print Thread
 
  • 0 Vote(s) - 0 Average
Recently Browsing
 1 Guest(s)
Recently Browsing
 1 Guest(s)