Specialize GPT-J by providing examples of your task and the resulting model can often outperform GPT-3 Davinci.
Prepare and upload a text file with desired samples of the task you’d like GPT-J to fine-tune on.
Define the number of minutes GPT-J should be trained on your provided dataset and how many checkpoints should be saved.
Set custom prompts to auto-test your checkpoints and deploy any checkpoint to instantly retreive an endpoint for inference.
Instantly experiment with all your standard and fine-tuned GPT-J deployments.
Customize parameters, type in any text, and see what GPT-J has to say.
“My fine-tuned GPT-J model significantly outperformed GPT-3 Da Vinci.”
Increase throughput, fine-tune for free, and save up to 33% on inference costs. Try GPT-J on Forefront today.