WIZ.AI Unveils Southeast Asia’s First Foundation LLM for Bahasa Indonesia
On September 13th, WIZ.AI proudly unveiled its 13 billion-parameter Large Language Model (LLM) tailored specifically for Bahasa Indonesia. This groundbreaking release follows the region’s first 7B Foundation Model and domain-specific Enterprise AI system launched earlier this year, marking a significant milestone for Southeast Asian AI development.
The launch represents a tremendous step towards encouraging international AI communities to focus more on Southeast Asian languages, addressing the critical gap in regional AI representation that has long dominated by Western-centric models.
“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, President 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 stands apart through its training on an expansive 10 billion Indonesian tokens. This comprehensive approach captures the linguistic nuances and cultural contexts that are essential for meaningful AI interactions in the Indonesian market.
The extensive regional training dataset enables the model to understand Indonesian cultural references, business contexts, and colloquial expressions that generic models often miss. This results in more contextually relevant outputs that resonate with local users and business requirements.
Superior Performance Benchmarks
According to the Hugging Face Open Leaderboard, WIZ.AI’s model demonstrates superior performance compared to Llama 2 across all key evaluation metrics in Bahasa Indonesia, establishing new standards for regional language AI capabilities.
Outperforming Llama 2 Across Key Metrics
WIZ.AI’s 13B model shows significant improvements over both Llama 2-13B and even competes favorably with the much larger Llama 2-70B model.
vs. Llama 2-13B Performance
- Hellaswag: 33% improvement
- ARC: 20% improvement
- TruthfulQA: 20% improvement
- MMLU: 7% improvement
vs. Llama 2-70B Performance
Despite being significantly smaller, WIZ.AI’s model excels in three key metrics by an average of 4%:
- ARC (reasoning challenge)
- Hellaswag (commonsense inference)
- TruthfulQA (truthfulness assessment)
Domain-Specific Excellence
WIZ.AI’s LLM particularly excels in domain-specific areas crucial to Southeast Asian business operations, including banking, finance, and e-commerce sectors. This specialization makes it particularly valuable for enterprise applications requiring deep industry knowledge.
Example: Indonesian Banking Knowledge
Provides a general list of banks without specific context or current information
Identifies the largest bank with up-to-date data and comprehensive descriptions including market position and services
Enterprise-Grade Capabilities
Beyond superior language understanding, WIZ.AI’s model offers enterprise-grade capabilities designed for commercial deployment and scalable business operations.
High Performance
Performs 2.5 times faster than Llama 2-13B after fine-tuning and optimization, enabling real-time applications.
Enterprise Security
Features enterprise-level security protocols that safeguard sensitive information and ensure data privacy compliance.
Advanced Analytics
Offers enterprise-grade data analysis capabilities with rapid response times for business intelligence applications.
Future Plans and Regional Expansion
Currently exclusive to commercial use, WIZ.AI has ambitious plans for broader accessibility and regional expansion. The company is developing strategies for an open-source public release to build a dynamic ecosystem where regional AI key players, researchers, and enthusiasts can collaborate.
The expansion roadmap includes extending the foundation model to other Southeast Asian languages, with Thai already in the active training phase. This systematic approach aims to create a comprehensive suite of regional language models.
“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, President 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 through practical AI solutions. The company has successfully provided AI-powered enterprise solutions to over 200 clients across Southeast Asia, spanning multiple industries and use cases.
Banking & Finance
Insurance
Telecommunications
FMCG
E-commerce
Transform Your Business with Regional AI Excellence
WIZ.AI’s Bahasa Indonesian Foundation Model is currently available for selected enterprise customers. Our team works closely with businesses to implement AI solutions tailored to regional markets and cultural contexts.
Book a Demo