Multilingual AI: How Language and AI Work Together
Helping you understand how AI models handle multiple languages, how to write effective prompts, and why using AI responsibly really matters.
Hi, I’m Marie, a linguist and Master’s student in multilingual communication at the University of Strasbourg. I created this blog to explore the intersection of AI and language, especially how technologies like LLMs, NLP, and GenAI process, translate, and interact with multiple languages.
Whether you’re new to AI or already experimenting with prompts, this site will guide you through the basics, help you think critically, and invite you to use these tools responsibly with an eye on accuracy, bias, and ecological impact.
Understand the Basics
Start with the fundamentals to grasp how AI and language technologies work. This FAQ will guide you through the essential concepts.
Deep Dive into the Techniques
Explore the methods and algorithms that power AI. Learn how models are trained, optimized, and applied to real-world tasks.
Use AI Responsibly
Discover best practices for ethical and responsible AI usage, including privacy considerations and potential limitations.
Blog
Discover how AI models understand and use language across different cultures. This blog offers clear, beginner-friendly guides on NLP, LLMs, and prompt engineering, along with insights into AI’s impact on translation, bias, and sustainability.
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How Large Language Models (LLMs) Work: From Tokens to Text Generation
Large Language Models (LLMs) like GPT, BERT, or T5 don’t think like humans, but…
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Google Translate and Gender Bias
Many languages, such as French and Spanish, use gendered nouns. AI translation tools often…
Did you know?
USD 439.9 billions
Market Growth in NLP
The global NLP market is rapidly expanding and projected to reach USD 439.9 billion by 2030.
95%
Generative AI Adoption
As of 2025, 95% of customer interactions are expected to involve AI, and nearly 58% of digital content is generated using AI tools, indicating the profound impact of GenAI on communication and content production. (Directors Club)
500 km
Environmental Cost
One million ChatGPT queries can emit up to 129 kilograms of CO₂, equivalent to driving a gasoline car over 500 kilometres.
Even if each prompt seems small, at scale, AI use adds up, raising real questions about sustainability. (The environmental impact)
New to the vocabulary?
Check out the Glossary to understand key terms like NLP, LLMs, and tokens.