SUTRA Multilingual Capabilities Deep Dive
This guide explores SUTRA’s multilingual capabilities, supporting over 50 languages with exceptional fluency and context-awareness. SUTRA’s dual-transformer architecture and efficient tokenizer make it a leader in multilingual AI applications.
🌐 Multilingual Overview
SUTRA excels in over 50 languages, including Hindi, Gujarati, Tamil, Bengali, Korean, Arabic, and Japanese, outperforming models like GPT-4 in languages like Gujarati and Tamil on the Multilingual MMLU benchmark. Its Mixture of Experts (MoE) framework decouples concept and language learning, enabling cost-efficient, scalable multilingual performance.
📦 Step 1: Install Dependencies
# SUTRA models are OpenAI API compatible
!pip install -qU openai🔐 Step 2: Initialize SUTRA Client
from openai import OpenAI
client = OpenAI(
api_key="YOUR_SUTRA_API_KEY",
base_url="https://api.two.ai/v2"
)💬 Step 3: Multilingual Example
def get_response(prompt, lang):
print(f"[{lang}] {prompt}")
response = client.chat.completions.create(
model="sutra-v2",
messages=[{"role": "user", "content": prompt}],
max_tokens=1024,
temperature=0.7
)
print(response.choices[0].message.content)
get_response("What is AI?", "English")
get_response("आर्टिफिशियल इंटेलिजेंस क्या है?", "Hindi")
get_response("人工知能とは何ですか？", "Japanese")🌟 Key Strengths
- Broad Language Support: Handles Latin, Indic, and Far Eastern languages, including Hinglish.
- Efficient Tokenizer: Reduces token consumption by 3-5x for non-English languages, lowering costs.
- High MMLU Scores: Hindi (81.44), Gujarati (79.39), Tamil (77.82), Bengali (78.91).
🛠 Troubleshooting
- Language Errors: Ensure prompts match the target language’s script and syntax.
- Invalid API Key: Verify your key at https://developer.two.ai.
- Model Not Found: Use
sutra-v2. SUTRA-V1 was deprecated on March 22, 2025.