Pramana: Fine-Tuning Large Language Models for Epistemic Reasoning through Navya-Nyaya

1. 1Identify the epistemic gap in large language models
2. 2Apply Navya-Nyaya principles to fine-tune models for epistemic reasoning
3. 3Evaluate model performance on tasks requiring systematic reasoning
4. 4Refine fine-tuning techniques to improve model reliability

AI researchers and engineers working on large language models can benefit from Pramana to improve the reliability of their models, particularly in domains requiring systematic reasoning

💡 Fine-tuning large language models with Navya-Nyaya can reduce the epistemic gap and improve model reliability

🤖 Pramana improves LLMs' systematic reasoning through Navya-Nyaya fine-tuning