Batch Processing Tool: Scale Your AI Processing
Designed for large-scale text processing, it supports concurrent processing of tens of thousands of data entries, real-time progress monitoring, and intelligent error retries, making batch tasks easy to complete.
Core Features
⚡ Efficient Processing
- • Intelligent concurrency control
- • Automatic rate limiting
- • Resumable uploads
- • Memory optimization
📊 Task Management
- • Real-time progress monitoring
- • Automatic error retries
- • Real-time result preview
- • Task prioritization
Usage Scenarios
📄 Document Processing
Batch summarize, translate, and classify thousands of documents
💬 Data Labeling
Prepare training data for Machine Learning
📊 Content Analysis
Batch sentiment analysis and topic extraction
Batch Processing Configuration
{
"task": {
"name": "Batch Document Summarization",
"model": "gpt-3.5-turbo",
"prompt_template": "Please generate a summary of no more than 100 words for the following document: \n{content}",
"max_tokens": 150
},
"processing": {
"concurrent_requests": 10,
"rate_limit": 100, // requests per minute
"retry_attempts": 3,
"retry_delay": 5000, // milliseconds
"timeout": 30000
},
"input": {
"source": "csv",
"file": "documents.csv",
"column": "content"
},
"output": {
"format": "excel",
"include_original": true,
"save_errors": true
}
}Processing Flow Monitoring
Real-time Progress Panel
Total Progress8,523 / 10,000
8,342
Success
156
Processing
25
Failed
1,477
Pending
Advanced Features
🔄 Smart Retry Mechanism
- • Exponential backoff algorithm to avoid rate limiting
- • Intelligently identify temporary/permanent errors
- • Automatically switch to backup models
- • Save failed tasks for subsequent processing
💾 Result Management
- • Real-time streaming save of results
- • Supports multiple export formats
- • Incremental updates to avoid data loss
- • Result deduplication and validation
Performance Optimization
Best Practices for Processing 100,000 Data Entries
Resource Configuration
- • Concurrency: 20-50
- • Batch Size: 100-500
- • Memory Limit: 4GB
- • Timeout: 30 seconds
Expected Performance
- • Processing Speed: 1000 items/minute
- • Completion Time: Approx. 2 hours
- • Success Rate: > 99%
- • Cost: Approx. $30-50
Actual Case Study
E-commerce Review Analysis Project
Project Background
An e-commerce platform needed to analyze 500,000 user reviews to extract sentiment, keywords, and improvement suggestions.
500,000
Total Reviews
8 hours
Processing Time
$180
Total Cost
Start Batch Processing
Whether it's hundreds or millions of data entries, they can be processed efficiently, stably, and economically.
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