It seems like you want to customize the behavior of the GPT-3.5-turbo model to make it respond with a specific name or follow certain instructions. While you can't directly train the model, you can use a technique called "prompt engineering" to guide the model's behavior. In the case of GPT-3.5-turbo, you can set an instruction in the prompt to define the AI's identity, and then ask your questions accordingly. Here's an example: null
async function askJohn(question) {
const prompt = `You are an AI language model called John, and your purpose is to assist users with their questions. ${question}`;
const response = await openai.Completion.create({
engine: 'gpt-3.5-turbo',
prompt: prompt,
max_tokens: 50, // Adjust the number of tokens based on your use case
n: 1,
stop: null,
temperature: 0.8,
});
return response.choices[0].text.trim();
}
Use the askJohn
function in your React Native app to ask questions and get answers:
const question = 'What is the capital of France?';
const answer = await askJohn(question);
console.log(answer);