LLMs: A "Large" Problem That Needs a "Local" Solution

Is your AI speaking your customers’ language—or just translating English? Large Language Models (LLMs) are transforming business, but their English-centric training creates critical blind spots in cultural context, regional compliance, and customer experience. The future of AI isn’t just about being large—it’s about being local.

What You'll Learn

In this paper, we explore:

Why LLMs fail in multilingual and cross-cultural applications.
The impact of linguistic diversity on AI accuracy and usability.
How cultural nuances, politeness levels, and conversational norms affect AI communication.
Why low-resource languages are often overlooked in AI training.
The ethical risks and biases of English-dominated AI models.
How localized AI training data enhances accuracy, inclusivity, and global reach.
How Summa Linguae Technologies helps companies build better AI solutions through multilingual data.

Download the guide to discover how Summa Linguae can transform Large Language Models into truly local AI solutions.

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Local, Not Large: The Future of Language Models

What You'll Learn

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