WIZ.AI Unveils Southeast Asia’s First Foundation LLM for Bahasa Indonesia

WIZ.AI Unveils Southeast Asia’s First Foundation LLM for Bahasa Indonesian

Amplifying Regional Representation in Mainstream AI

5 min read

On September 13th, WIZ.AI proudly unveiled its 13 billion-parameter LLM tailored specifically for Bahasa Indonesia. This release follows the region’s first 7B Foundation Model and domain-specific Enterprise AI system launched earlier this year.

The launch marks a significant milestone for the Southeast Asia market. It represents a tremendous step towards encouraging international AI communities to focus more on Southeast Asian languages.

“We are thrilled to introduce Southeast Asia’s first regional LLM. Our AI system opens up new possibilities for business in the region, and we are excited to see its transformative impact.”
— Jennifer Zhang, CEO and co-founder of WIZ.AI

Comprehensive Training with Regional Focus

While prevalent AI models are primarily trained on Western data and materials, WIZ.AI’s model is trained on an expansive 10 billion Indonesian tokens. This approach captures linguistic nuances and cultural contexts of the region.

The comprehensive training leads to more contextually relevant outputs. It better understands Indonesian cultural references and business contexts.

Superior Performance Benchmarks

Outperforming Llama 2 Across Key Metrics

According to the Hugging Face Open Leaderboard, WIZ.AI’s model outperforms Llama 2 in Bahasa Indonesia across all key evaluation metrics.

vs. Llama 2-13B

  • Hellaswag: 33% improvement
  • ARC: 20% improvement
  • TruthfulQA: 20% improvement
  • MMLU: 7% improvement

vs. Llama 2-70B

WIZ.AI’s model excels in three key metrics by an average of 4%:

  • ARC (reasoning challenge)
  • Hellaswag (commonsense inference)
  • TruthfulQA

Domain-Specific Excellence

WIZ.AI’s LLM particularly outperforms Llama 2-13B in domain-specific areas. These include banking, finance, and e-commerce sectors.

Example: Indonesian Banking Knowledge

Llama 2-13B Response:

Provides a general list of banks

WIZ.AI Model Response:

Identifies the largest bank with up-to-date data and comprehensive description

Enterprise-Grade Capabilities

High Performance

Performs 2.5 times faster than Llama 2-13B after fine-tuning and optimization.

Enterprise Security

Features enterprise-level security that safeguards sensitive information and data.

Data Analysis

Offers “enterprise-grade” data analysis capabilities with rapid response times.

Future Plans and Regional Expansion

Currently exclusive to commercial use, plans are underway for an open-source public release. WIZ.AI aims to build a dynamic ecosystem where regional AI key players, researchers, and enthusiasts collaborate.

The company plans to extend the foundation model to other Southeast Asian languages. Thai is already in the training phase.

“We’re spearheading an initiative to build up a dynamic ecosystem. This will propel AI innovation in the region, bring Bahasa Indonesian into the AI mainstream, and enhance Southeast Asia’s global impact.”
— Jennifer Zhang, CEO and co-founder of WIZ.AI

Proven Track Record in Southeast Asia

With deep roots in Southeast Asia markets, WIZ.AI has consistently demonstrated commitment to the region. The company has provided AI-powered enterprise solutions to over 200 clients across Southeast Asia.

Banking & Finance

Insurance

Telco

FMCG

E-commerce

Get Started with WIZ.AI’s Bahasa Indonesian Model

Currently available for selected enterprise customers. Submit your request for review and approval.

Request Access