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Generative AI custom data fine tuning with google cloud vertax ai

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leodeveloper/fine-tune-with-google-cloud

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Fine-tune-with-Google-Cloud

Fine-tune your custom data using Google Cloud Platform (GCP) and Vertex AI.

Overview

This project aims to provide a streamlined process for fine-tuning models with custom data using Google Cloud Platform (GCP) services, particularly leveraging Vertex AI. Fine-tuning models is crucial for various machine learning tasks, such as improving the performance of pre-trained models on specific domains or tasks.

Features

  • Efficient Fine-tuning: Utilize the power of Google Cloud Platform for efficient fine-tuning of machine learning models.
  • Custom Dataset Support: Easily integrate your custom dataset for fine-tuning tasks.
  • Scalability: Scale your fine-tuning process seamlessly with GCP's infrastructure.
  • Vertex AI Integration: Harness the capabilities of Vertex AI for model training and deployment.
  • Monitoring and Logging: Monitor and log fine-tuning experiments for better tracking and analysis.
  • Cost-effectiveness: Optimize costs with efficient resource utilization on Google Cloud.

Getting Started

Prerequisites

  • Google Cloud Platform account
  • Access to Vertex AI services
  • Basic knowledge of machine learning and TensorFlow (or any other framework of your choice)

Installation

  1. Clone this repository:

    git clone https://github.com/leodeveloper/fine-tune-with-google-cloud
    

#for any help please write leodevelopergcp@gmail.com