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Changelog

All notable changes to laravel-finetuner will be documented in this file.

v1.0.3 - 2024-04-23

Version 1.0.2 of the Laravel Finetuner package includes the following updates:

IoC Container Bind: The FineTuner class is now registered in Laravel's service container (IoC container) in the FineTunerServiceProvider. This allows it to be resolved out of the container elsewhere in your application, enhancing the flexibility and usability of the package.

Readme Update: The README.md file has been updated to provide more detailed instructions on how to use the php artisan laravel-finetuner command. This includes a step-by-step guide on how to generate examples, upload them, and start a fine-tuning job with Laravel Finetuner.

v1.0.2 - 2024-04-22

Release v1.0.2 of the Laravel Finetuner package includes the following changes:

  1. Addition of the FineTunerCommand: This new command provides an interface for generating examples, uploading them, and starting a fine-tuning job with Laravel Finetuner. It includes options for specifying a prompt, temperature, and number of examples.

  2. Bug Fix: An issue was resolved where the array_rand function was returning random keys from the array, not the values. This was causing incorrect data to be added to the messages array. The code has been corrected to use the returned keys to get the actual values from the prevExamples array.

This release enhances the functionality of the package and improves its reliability by fixing a known bug.

v1.0.1 - 2024-04-19

Default storage updated.

v1.0.0 - 2024-04-19

It simplifies the process of adjusting model parameters to optimize performance, tailored specifically for Laravel applications. This tool is ideal for developers looking to enhance AI capabilities in their projects efficiently, with minimal manual intervention.