How to do fine-tuning easily with AIsuru

AIsuru makes it easy to prepare data for fine-tuning language models on various AI platforms. This feature helps you create custom models that are more efficient and cost-effective, tailored to your specific needs.

Preparing the data

To start the fine-tuning process, you'll first need to export your data from AIsuru:

1. From the sidebar, select "Import/Export";

2. Click the "Export JSONL" button;

3. In the advanced settings, select "Include instructions" if you want to include the "Instructions" (Settings > AI > Instructions) in every message;

4. (Optional) Specify a date to export only content from a certain period;

5. Press the "Export" button to start downloading the JSONL file.

✅ Great! You now have a JSONL file ready to feed to the language model!

The generated JSONL file only contains textual Content: it doesn't contain images, videos, links, PDFs, known facts, dynamic intents, slots, functions, or MCP.

The fine-tuning process

Once you have the JSONL file, you can proceed with fine-tuning:

1. Go to Microsoft Azure or OpenAI;

2. Upload the JSONL file you downloaded from AIsuru in the "Training data" section;

3. Don't upload any file in the "Validation data" section and configure the other settings: suffix, seed, batch size, learning rate multiplier, and number of epochs.

✅ Done! The process should complete within a few hours.

Fine-tuning with AIsuru lets you create custom AI models that perfectly reflect your needs, reducing costs and improving efficiency. Give it a try and see how it can transform your approach to AI!