Thinking about customising LLM for your company?

Here's how:

1.Define Your Data

Your LLM is only as useful as the information you provide. Decide which documents are important. Upload them. Voilà, you've got your knowledge base.

2.Master Prompt Engineering

Experiment a bit. Take a document that contains an answer. Try different prompts to extract this answer. Which ones work really well? Use them as the reference of what is possible.

3.Automate the Process

Automate what you’ve just done with prompt engineering. This involves three substeps:

• Identify the topics in the user's question
• Find internal documents on these topics
• Blend this information into your prompts

4.Integrate It

You've got this awesome model, that’s great. But right now only the tech team can use it. It's time to open up and make the model accessible to everyone in your organisation. This means integrating it into your IT systems. Imagine an LLM-powered search tool accessible to all employees. That’s the goal here!

5.Test and Improve

Launching is just the start. Keep testing and tweaking to ensure your model stays relevant and useful.

Congratulations, you've just learned RAG (Retrieval-Augmented Generation)!

Was it as difficult as it sounds?