Developers can now fine-tune GPT-3 on their own data, creating a custom version tailored to their application. Customizing makes GPT-3 reliable for a wider variety of use cases and makes running the model cheaper and faster. You can use an existing dataset of virtually any shape and size, or incrementally add data based on user feedback. With fine-tuning, one API customer was able to increase corr
![Customizing GPT-3 for your application](https://cdn-ak-scissors.b.st-hatena.com/image/square/e196c772cfad912176db5ff3d1c2dc2613c3a4e8/height=288;version=1;width=512/https%3A%2F%2Fimages.openai.com%2Fblob%2F3cc7fd12-8d30-4d8f-a3a2-e109c3c00eae%2Fcustomizing-gpt-3.jpg%3Ftrim%3D0%252C0%252C0%252C0%26width%3D1000%26quality%3D80)