Training OpenAI Models using Prompts

Introduction

Ready to train an OpenAI model?

Fine Tune AI is the simplest and fastest way to generate fine-tuning data using prompts. We're the only tool offering this service, and it's completely free!

This AI tool empowers anyone to create datasets for various purposes simply by writing prompts in English, thanks to its familiar text box interface akin to Google and ChatGPT. Additionally, it surpasses traditional data mining in speed and cost-effectiveness, even offering conversion of mined text data to the OpenAI format for seamless integration with their models.

And it's multilingual.

Some Considerations to Note

  • The effectiveness of the tool heavily relies on the quality of prompts provided by users. Poorly formulated prompts could result in suboptimal dataset outputs.
  • While OpenAI suggests good results with 10 sets of data, custom datasets ideally contain thousands of samples. However, our current application generates only 10 to 100 data sets. We plan to release a premium product soon with these features.
  • We are soon relising similar features for llama-2
  • Follow these steps to get started

    • Step 1: Generating Datasets

    1. Start by accessing the Fine Tune AI platform.
    2. In the prompt, specify your use case. For example, "Create a dataset for a travel desk."
    3. Tool will automatically generate 10 datasets aligned with your use case.
    4. If you need more datasets, simply type "next" to generate another 10 datasets.
    5. You can also specify a different use case by typing it out like "flight cancellation", and it will generate datasets accordingly align with your previous datasets.

    Step 2: Fine-Tuning with Data

    1. If you're creating a chatbot for a company, instruct tool to use the provided data to generate chatbot responses.
    2. It will generate a response based on the data provided
    3. Review the data sets, and make any changes if necessory in the response itself
    4. Export the data by copy or downloading it

    Step 3: Creating a Fine-Tuned AI Model

    1. Go to platform.openai.com.
    2. Select the GPT-3.5 model.
    3. Upload the created dataset and press "Create". It takes about 10 minutes to fine-tune the data.
    4. Once the fine-tuning is complete, your data model is ready to be used in your API.