LLMs for India: A Cultural Mismatch
Current LLMs, built on Western data, fail to grasp India's linguistic and cultural diversity. This is not a mere technical glitch, but a colonial oversight.
The rush to deploy Large Language Models across India is a neocolonialist endeavour, exporting Silicon Valley biases under the guise of progress. These models, trained on predominantly Western datasets, erase the subcontinent's rich tapestry of languages and cultures. We are not just talking about translation errors; we are talking about a fundamental misunderstanding of context and values. Will we ever build AI that truly respects non-Western realities, or is universal AI a myth?
Critiques of LLMs often overstate cultural biases, ignoring the significant, ongoing efforts to adapt models for diverse linguistic contexts. India's tech talent is perfectly capable of fine-tuning these systems.
- ·Data diversity
- ·Cultural bias
- ·Localisation efforts