How to train OpenAI Model using Nodejs

OpenAI is a cutting-edge technology that can be used to create powerful machine-learning models. By training an OpenAI model, you can create a custom AI program that can perform specific tasks, such as language translation or image recognition. In this tutorial, we’ll walk you through the steps to train an OpenAI model so that it can give us completion with our own completion text.

To work with this OpenAI API you need to generate your OpenAI API key. Follow the below steps

You need to keep the below things in your mind

• Model: Currently there are 4 models available in GPT-3 (text-davinci-003, text-curie-001, ctext-babbage-001 and text-ada-001). Among these options text-davinci-003 is the most powerful when it comes to coding.
• Max tokens: Maximum number of tokens you want to get for each request to the API
• Temperature: Controls how much randomness is in the output (the lower the temperature, the more likely GPT-3 will choose words with a higher probability of occurrence)

Need to follow the below steps

Step 1: Set up your environment

The first step in training an OpenAI model is to set up your development environment. You’ll need a computer with a high-speed internet connection and plenty of processing power. You’ll also need to install OpenAI’s NPM library ( https://www.npmjs.com/package/openai ) and any other tools you plan to use to create your model.

Step 2: Create the training file

Once your environment is set up, you need to create the training file with prompt and completion text and the file extension should be jsonl.

The sample jsonl will be as below

Step 3: Upload the training file

Once you prepared the large dataset need to upload that file using openai API.

Step 4: Train your model using the uploaded file

Once you upload the file then it will return the fileId and use that id to train your model using opeai API. It will take time to train the model. Please wait for 10–15 min. Once the trained model is successful it will return the new unique model id.

The output will be like the below.

The output will be like the below.

Non-Train model will be like below

Not Trained Model

The train Model will be Given output like below

Train Model

Here is the working example

openai_train_model

The Complete Code is on GitHub also if you want fork this

You can check the complete code of the article at the following link

GitHub - dhavalsoni9989/openai_train_model

Conclusion

In conclusion, training an OpenAI model is a complex process that requires a deep understanding of machine learning and AI technologies. But with the right tools and expertise, anyone can create a powerful model that can perform a variety of tasks. Whether you’re interested in language translation, image recognition, or any other AI application, OpenAI can help you create a custom solution that meets your needs.

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