OpenAI Fine Tune

Authentication Type: API Key
Description: Chat completion using OpenAI fine-tuned models with custom training.

OpenAI Chat

Chat completion using OpenAI fine-tuned models.

Chat Completion

Generate chat completions using a specified OpenAI fine-tuned model. Provide the model name and conversation messages.

Operation Type: Query (Read)

Parameters:

• modelName string (required): Name of the fine-tuned OpenAI model to use
• messages array of objects (required): Array of messages for the chat completion
  • role string (required): Role of the message sender. Options: "system", "user", "assistant"
  • content string (required): Content of the message

Returns:

• id string (nullable): Unique identifier for the completion
• object string (nullable): Object type, typically "chat.completion"
• created number (nullable): Unix timestamp of creation
• model string (nullable): Model used for completion
• choices array of objects (nullable): Array of completion choices
  • index number (nullable): Index of the choice
  • message object (nullable): The generated message
    • role string (nullable): Role of the message
    • content string (nullable): Content of the message
  • finishReason string (nullable): Reason the completion finished
• usage object (nullable): Token usage information
  • promptTokens number (nullable): Number of tokens in the prompt
  • completionTokens number (nullable): Number of tokens in the completion
  • totalTokens number (nullable): Total number of tokens used

Example Usage:

{
  "modelName": "ft:gpt-3.5-turbo-0125:my-org:custom-suffix:7p4lURel",
  "messages": [
    {
      "role": "system",
      "content": "You are a helpful assistant specialized in customer support for an e-commerce platform."
    },
    {
      "role": "user",
      "content": "I haven't received my order yet and it's been 5 days. What should I do?"
    }
  ]
}

Common Use Cases

Custom Domain Expertise:

• Deploy fine-tuned models trained on domain-specific knowledge for specialized assistance
• Use models customized for specific industries like healthcare, legal, finance, or technical support
• Implement brand-specific tone and communication styles through fine-tuned model responses

Personalized AI Applications:

• Create conversational AI with custom personality traits and response patterns
• Build customer service bots trained on company-specific policies and procedures
• Develop educational assistants fine-tuned on curriculum-specific content and teaching methodologies

Quality Control and Consistency:

• Ensure consistent response quality and style across different user interactions
• Monitor token usage and completion performance for cost optimization and efficiency
• Generate responses with predictable formatting and structure based on fine-tuned training data

Production AI Deployment:

• Integrate fine-tuned models into production applications with reliable performance metrics
• Scale custom AI solutions with specialized knowledge while maintaining OpenAI's infrastructure
• Track completion metadata including finish reasons and token usage for monitoring and optimization