All Things Policy LLMs in Indian languages: An insurmountable challenge?
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Dec 16, 2024 Large language models struggle with non-English languages, raising questions for India's linguistic diversity. The podcast delves into the challenges of developing LLMs for India’s 22 languages and the scarcity of digitized data. It advocates for prioritizing infrastructure over digital solutions and suggests community-driven approaches to foster inclusivity. Furthermore, the discussion highlights the pressing need for transparency and collaboration in tackling biases and technical hurdles in AI initiatives for local languages.
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ChatGPT's Translation Failings
- ChatGPT failed to accurately translate land records from Kerala to English.
- It lacked contextual understanding, highlighting the need for Indian language LLMs.
Untapped Use Cases for Indian Language LLMs
- Indian language LLMs could translate vast amounts of regional literature currently inaccessible.
- Legal documents translated into regional languages would improve accessibility and proceedings.
Consider Opportunity Cost and Data Digitization
- Focus on the opportunity cost when developing LLMs, considering resource intensity and data availability.
- Prioritize digitizing existing non-digital data in Indian languages.