Guide

Fine-tuning vs RAG

Fine-tuning changes model weights. RAG retrieves your files at ask time. AshnaAI how-tos use RAG and tools. You do not fine-tune a model to chat with a PDF.

AshnaAI

Fine-tuning vs RAG

What you'll do

Fine-tuning changes model weights. RAG retrieves your files at ask time. AshnaAI how-tos use RAG and tools. You do not fine-tune a model to chat with a PDF.

This guide walks through fine-tuning vs RAG in AshnaAI. You stay in chat. You do not need a separate desktop of buttons for each file job.

Before you start

Open AshnaAI and start a new chat.

How to fine-tuning vs RAG

Follow the steps below in order. Confirm in chat before AshnaAI sends, posts, or writes to Tally.

Step 1. Read the definition

Fine-tuning changes model weights. RAG retrieves your files at ask time. AshnaAI how-tos use RAG and tools. You do not fine-tune a model to chat with a PDF.

Step 2. Open AshnaAI

Sign in at https://app.ashna.ai and start a chat, or open the agent builder.

Step 3. Try the job

Ground the agent in a file before you ask about training.

Step 4. What to expect

AshnaAI does not offer a consumer fine-tune wizard on these how-tos.

Keep in mind

AshnaAI does not offer a consumer fine-tune wizard on these how-tos.

Related guides

Also read rag done right ingestion chunking.

Also read chat with a pdf.

More AI glossary how-tos live on What is RAG, hallucination, and prompt engineering.

Try it now

Open app.ashna.ai and run this job in a new chat. New accounts can start from app.ashna.ai/signup.

Frequently asked questions

What is fine-tuning vs RAG?
Fine-tuning changes model weights. RAG retrieves your files at ask time. AshnaAI how-tos use RAG and tools. You do not fine-tune a model to chat with a PDF.
How does AshnaAI use this?
Prefer files and connectors.
Do I need to train a model?
Usually no. Prefer files, connectors, and a clear job over fine-tuning.
Where is the glossary entry?
Read https://www.ashna.ai/ai-glossary/fine-tuning
What should I do next?
Ground the agent in a file before you ask about training.

Tags

#AI glossary#fine-tuning vs RAG#how-to

Found this article helpful? Share it with your network.