ChatGPT, an AI tool that is all the rage these days, is competent at certain duties. But what if it still falls short of the lofty expectations you or your company have for work? OpenAI, the company behind ChatGPT, has released a tool that will enable businesses utilizing ChatGPT 3.5 API to fine-tune and train the AI assistant so that it generates content that meets the specifications.
OpenAI tweeted, “Fine-tuning allows you to train the model on your company’s data and run it at scale.” It also asserts that the custom model developed through fine-tuning can match or surpass the capabilities of GPT-4 for specific tasks.
Since the release of GPT-3.5 Turbo, which is an API that businesses and organizations can use, OpenAI’s users have requested the ability to modify the model to create distinct and special experiences. “With this release, developers can now run supervised fine-tuning to improve the performance of this model for their use cases,” the company said.
Useful Article: What is ChatGPT? Things You Need to Know
Similar to ChatGPT, the GPT3.5 API will continue to be pre-trained with data until September 2021, according to the company. In addition, organizations’ custom training and fine-tuning of the API for their own purposes will be regarded a local application, and the custom data will not be used to train any OpenAI applications.
How can businesses utilize the new GPT feature? Here’s an illustration: Perhaps your business provides customer service and employs GPT 3.5 API to power the AI tool that communicates with customers. With the new feature, you can now instruct and train the GPT-3.5 to respond to consumers in your particular manner and with your particular solutions.
Related Article: ChatGPT Gets Custom Instructions So You Won’t Have to Repeatedly Enter the Same Prompts
The new feature arrived just days after OpenAI released the custom instructions feature for ChatGPT. This feature allows the AI chatbot to tailor its responses to the user’s preferences. To establish preferences, users must answer questions such as “What information would you like ChatGPT to know about you?” and “How should ChatGPT tailor its responses to you?”
Once the introduction has been provided, ChatGPT will include the user’s customized instructions in all subsequent conversations. The model will consider these instructions whenever it generates a response. This eliminates the need for users to specify their preferences and details in every conversation.
A writer working on a novel, for instance, can inform ChatGPT of the novel’s genre, tone, and intended audience so that ChatGPT can generate text consistent with the writer’s vision. A student studying for a test can inform ChatGPT of the test’s topic so that ChatGPT can generate pertinent practice questions and study materials for the student.
