Fine Tune GPT-3.5 with one click

1. What is LLM Fine Tuner?

LLM Fine Tuner is a simple UI to create your fine-tuned model. Just upload your training dataset and create your fine-tuned GPT-3.5 model.

2. What is Fine-Tuning?

Fine-tuning a GPT model involves taking a pre-trained model and training it further on a specific dataset to adapt it to a particular task. This two-step approach, starting with general pre-training and then specific fine-tuning, allows the model to leverage broad language understanding and tailor it to specialized needs, optimizing performance for specific tasks or datasets.

3. Do I need to know coding to use LLM Fine Tuner?

No, you do not need to know coding to use LLM Fine Tuner. LLM Fine Tuner is a UI that lets you fine-tune the GPT-3.5 model by uploading your training dataset.

4. How do I create a fine-tuned model using LLM Fine Tuner?

Prepare your training data and validation data (optional) as per the steps listed in the OpenAI guide. Once you have your dataset ready, create a fine-tuned GPT-3.5 model by uploading your dataset here.

5. Do I need an OpenAI key?

Yes, you will need an OpenAI key to create a fine-tuned model. You can create one by going to your OpenAI account page here.

6. Where do I configure the OpenAI key? Where is it stored?

You can configure your OpenAI key on the configure page. It is stored locally in your browser.

7. Where are my fine-tuned models stored? How can I test them?

All your fine-tuned models including your datasets are stored on OpenAI's servers. You can test your fine-tuned models by going to the OpenAI's playground UI and selecting your model from the dropdown.

You can also refer them in your OpenAI API calls by referencing them in your code.