window.ai.finetune

[hemanth]

window.ai.finetune enables web applications to fine-tune nano/ any local AI models directly in the browser. This API allows developers to customize AI models based on specific datasets or raw text, enhancing the capabilities of client-side AI applications.

Use Cases:

• Personalized language models for improved autocomplete or text generation
• Custom classifiers for specific domains or user preferences
• Tailored sentiment analysis models for particular contexts or industries

API: window.ai.finetune(options: FineTuneOptions)

Initiates the fine-tuning process for a model based on the provided options.

• options.model: Specifies the base model to fine-tune. defaults to "nano".
• options.dataset: An optional structured dataset for fine-tuning.
• options.rawText: An optional string of raw text for fine-tuning.
• options.epochs: An optional number of training epochs (default may vary by implementation).
• options.learningRate: An optional learning rate for the fine-tuning process.

Returns a Promise that resolves to a FineTuneResult object containing the ID of the fine-tuned model and performance metrics.