Embedding Cultural Value of a Society into Large Language Models (LLMs)

Homo sapiens, 164,000 years ago, started building a culture to connect and form groups and families as a way to survive. Photos © Aditya Mohan | All Rights Reserved.


In the era of rapid technological advancement, the integration of a society's cultural values into Large Language Models (LLMs) is not just an innovation but a necessity. As Mahatma Gandhi once said, "A nation's culture resides in the hearts and in the soul of its people." This sentiment underscores the importance of infusing LLMs with the richness and diversity of cultural heritage to ensure they reflect the true essence of human societies.

Mahatma Gandhi with mill workers at Darwen, a textile town in Lancashire, England, September 25, 1931

Strategies for Embedding Cultural Values

Confucius. Photos © Aditya Mohan | All Rights Reserved.
Victor Hugo. Photos © Aditya Mohan | All Rights Reserved.

Training LLMs

Training an LLM involves feeding it a vast array of text data. This data is processed and analyzed for patterns in language use, context, and semantics. To embed cultural values, the training dataset must be curated to include a wide range of culturally relevant texts, recordings, and other forms of media. The model learns from this data, understanding not just the language but also the cultural nuances embedded within it. See Generative AI & Law: LLMs are not Stochastic Parrots. Based on this, LLMs can then generate responses that are culturally informed and sensitive.


Embedding the cultural values of a society into LLMs is a multifaceted task that requires a blend of technology, sociology, and art. It’s about respecting the past, embracing the present, and responsibly shaping the future of AI interaction. As we move forward, it’s essential to remember that our goal is not just to create intelligent machines, but to create machines that understand and respect human culture and the society.

Photos © Aditya Mohan | All Rights Reserved.

Further read