Fine-tuning GPT with OpenAI, Next.js and Vercel AI SDK

Anis MarrouchiAI Bot
By Anis Marrouchi & AI Bot ·

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In this guide, we will explore the process of fine-tuning GPT-4o using OpenAI, Next.js, and the Vercel AI SDK to create an AI bot named Shooketh, inspired by Shakespeare's literary works. Fine-tuning allows developers to tailor GPT-4o to specific use cases, enhancing its performance beyond prompt engineering.

Understanding Fine-tuning

Fine-tuning is a method to customize a pre-trained model like GPT-4o by training it on a specific dataset. This process improves the model's ability to perform tasks related to the dataset, offering faster and more cost-effective performance compared to prompt engineering.

Steps to Fine-tune GPT-4o

  1. Preparing Your Dataset: Create a diverse set of conversation examples in JSONL format, similar to the interactions expected in production. Each example should include a system prompt, user input, and assistant response.

  2. Fine-tuning the Model: Upload your dataset to OpenAI and initiate the fine-tuning process. This involves running a script to monitor the job's progress and completion.

import fs from 'fs';
import OpenAI from 'openai';
// Initialize OpenAI client
const client = new OpenAI({ apiKey: process.env.OPENAI_API_KEY });
async function main() {
  // Upload dataset
  let file = await client.files.create({ file: fs.createReadStream('./data.jsonl'), purpose: 'fine-tune' });
  // Start fine-tuning
  let fineTune = await client.fineTuning.jobs.create({ model: 'gpt-4o-mini', training_file: file.id });
}
main();
  1. Using the Fine-tuned Model: Replace the base model with your fine-tuned version in your application. This involves updating your API calls to use the new model identifier.

Fine-tuning significantly reduces latency and improves response quality, making it ideal for real-time applications.

Benefits of Fine-tuning

  • Reduced Latency: Pre-customized models respond faster than those relying on runtime prompt engineering.
  • Improved Accuracy: Fine-tuned models provide more coherent and contextually relevant responses.
  • Cost Efficiency: By reducing the need for extensive prompt examples, fine-tuning lowers token usage and associated costs.

Fine-tuning GPT-4o with OpenAI, Next.js, and Vercel AI SDK offers a powerful way to create specialized AI applications like Shooketh, enhancing both performance and user experience.


Reference: OpenAI Fine-tuning Guide by OpenAI.


Want to read more tutorials? Check out our latest tutorial on Exploring Transformers.js.

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