https://github.com/leodeveloper/fine-tune-with-google-cloud
Generative AI custom data fine tuning with google cloud vertax ai
https://github.com/leodeveloper/fine-tune-with-google-cloud
aiplatform custom-data custom-dataset customdataset datasets datasets-csv fine-tuning gcp generative-ai google-cloud google-cloud-aiplatform jsonl jsonlines machine-learning python vertex-ai
Last synced: 3 months ago
JSON representation
Generative AI custom data fine tuning with google cloud vertax ai
- Host: GitHub
- URL: https://github.com/leodeveloper/fine-tune-with-google-cloud
- Owner: leodeveloper
- License: mit
- Created: 2024-05-29T05:06:53.000Z (about 1 year ago)
- Default Branch: main
- Last Pushed: 2024-05-29T07:39:17.000Z (about 1 year ago)
- Last Synced: 2024-05-29T20:15:08.421Z (about 1 year ago)
- Topics: aiplatform, custom-data, custom-dataset, customdataset, datasets, datasets-csv, fine-tuning, gcp, generative-ai, google-cloud, google-cloud-aiplatform, jsonl, jsonlines, machine-learning, python, vertex-ai
- Language: Jupyter Notebook
- Homepage:
- Size: 382 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# 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:
```bash
git clone https://github.com/leodeveloper/fine-tune-with-google-cloud
#for any help please write [email protected]