TODO.md

Task Plan: OpenAI Fine-tuning with AWS Glue

1. Environment Setup and Configuration

[x] Set up AWS Glue development environment [x] Configure Docker container with necessary libraries [x] Set up MinIO as S3-compatible storage [x] Configure GPU machine for fine-tuning tasks

2. Data Preparation

[ ] Analyze existing data sources [ ] Design AWS Glue ETL job for data preprocessing [ ] Implement data transformation to match OpenAI's fine-tuning format [ ] Test and validate ETL job [ ] Set up data pipeline to MinIO

3. OpenAI API Integration

[x] Study OpenAI's fine-tuning API documentation [x] Implement Python functions for API interactions

• Create fine-tuning jobs
• Monitor job status
• Retrieve fine-tuned models [x] Develop error handling and retry mechanisms [x] Create a configuration management system for API keys and endpoints

4. Fine-tuning Pipeline Development

[ ] Design the overall fine-tuning workflow [ ] Implement data retrieval from MinIO [ ] Develop fine-tuning job submission process [ ] Create a monitoring and logging system for fine-tuning jobs [ ] Implement model evaluation and validation procedures [ ] Develop a system for managing and versioning fine-tuned models

5. Batch Processing Implementation

[ ] Design batch processing architecture [ ] Implement batch job creation and management [ ] Develop a system for handling large-scale fine-tuning requests [ ] Create a mechanism for distributing batch workloads