AI Verification System Technical Documentation¶
Overview¶
The AI verification system is the core intelligence layer of AlisChain, providing automated claim analysis and verification suggestions.
Components¶
1. BERT-Based Claim Analyzer¶
- Model: BERT-large-uncased
- Fine-tuning: Trained on fact-checking datasets
- Input Processing:
- Text normalization
- Entity recognition
- Claim segmentation
2. Multi-Source Verification¶
- Source Types:
- News articles
- Academic papers
- Government databases
- Verified social media
- Blockchain records
3. Confidence Scoring¶
- Metrics:
- Source reliability (0-1)
- Claim consistency (0-1)
- Time relevance (0-1)
- Context match (0-1)
4. Performance Optimization¶
- Redis caching layer
- Batch processing
- GPU acceleration
- Load balancing
API Endpoints¶
Claim Analysis¶
POST /api/v1/analyze
{
"claim": "string",
"context": "string",
"sources": ["string"],
"confidence_threshold": float
}
Verification Status¶
GET /api/v1/verification/{claim_id}
Integration Guide¶
Python SDK¶
from alischain.ai import ClaimVerifier
verifier = ClaimVerifier()
result = verifier.analyze_claim("claim_text")
JavaScript SDK¶
import { AlisChainAI } from '@alischain/ai';
const verifier = new AlisChainAI();
const result = await verifier.analyzeClaim("claim_text");
Performance Metrics¶
- Response Time: <500ms
- Accuracy: >95%
- Throughput: 1000 claims/second
- False Positive Rate: <1%
Last update:
2024-12-08