Comprehensive guide for the Nory University AI Model and Chatbot
/chat/completions
{ "message": "string", "conversation_id": "string (optional)", "max_tokens": 1000, "temperature": 0.7, "stream": false }
{ "message": "AI response text", "conversation_id": "conversation_id", "timestamp": "2025-07-15T12:00:00Z", "tokens_used": 45, "model": "llama-3.1-8b-nory-finetuned", "performance_metrics": { "latency_ms": 315, "accuracy_score": 0.876 } }
100
requests per hour
1,000
requests per hour
Custom
limits available
Model | Accuracy | Latency (ms) | BLEU Score | Perplexity |
---|---|---|---|---|
Nory AI (Fine-tuned) | 87.6% | 315ms | 0.847 | 6.43 |
Llama 3.1 8B (Base) | 62.0% | 1200ms | 0.65 | 15.2 |
GPT-3.5-turbo | 46.2% | 390ms | 0.72 | 13.2 |
Claude-3-Haiku | 41.0% | 470ms | 0.75 | 12.5 |
87.6% - significantly outperforming all compared models
315ms latency - 19% faster than GPT-3.5-turbo
0.847 BLEU score - superior text generation
6.43 - most confident and coherent responses
const NoryAI = require('nory-ai-sdk'); const client = new NoryAI({ apiKey: 'your-api-key', baseUrl: 'https://noryu.lat/api/v1' }); async function chatWithAI(message) { const response = await client.chat.completions.create({ message: message, max_tokens: 1000, temperature: 0.7 }); return response.message; }
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Last Updated: July 15, 2025 | Version: 1.0 | © 2025 Nory University. All rights reserved.