Tehisaru ja eesti keel

What Languages Can AI Speak?

The Limitations of AI Language Proficiency

• The AI can communicate in multiple languages, including Estonian and English, but its proficiency varies significantly across them.

• The abundance of training data in English compared to Estonian leads to better responses in English due to the larger volume of available texts online.

The Impact of Technology on Language Preservation

• Current technological advancements are shifting how information is disseminated, moving from traditional media like newspapers to language models that summarize news and personal updates.

• There is a pressing need for Estonia to advance its AI capabilities to ensure the preservation and continued use of the Estonian language.

Challenges Facing the Estonian Language in AI

• Existing challenges include errors made by AI when processing Estonian, such as hallucinating words or producing unnatural speech patterns.

• Smaller languages like Estonian often yield poorer quality responses from AI due to limited training data; this disparity highlights the need for more extensive datasets.

Solutions for Improving AI's Understanding of Estonian

• To enhance the performance of AI in understanding Estonian, it requires more training data. This can be achieved through community contributions.

• Individuals can generate valuable data by creating quality content on social media platforms, which serves as input for improving AI's language skills.

Engaging with AI in Native Languages

• Regular interaction with AI using the Estonian language helps improve its learning process and signals developers about user interest in supporting this language.

• Increased usage of Estonian prompts companies to invest resources into developing their products for this language, fostering a cycle that benefits both users and technology providers.