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---
title: README
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# RespAI Lab
π Bhubaneswar, India
β¨ Advancing large language models through cutting-edge research.
## About Us
RespAI Lab, led by Dr. Murari Mandal, focuses on overcoming challenges in large language models (LLMs) like long-content processing, inference efficiency, interpretability, and alignment. We also explore synthetic persona creation, regulatory issues, model merging, knowledge verification, and unlearning techniques.
## Current Research Areas
- **Enhancing advanced reasoning in LLMs**: Improving complex reasoning abilities for better decision-making and contextual understanding.
- **Long-content processing for LLMs**: Addressing performance bottlenecks, memory limitations, and information loss.
- **Inference efficiency optimization**: Reducing computational costs while improving speed and memory usage.
- **Interpretability and alignment**: Ensuring AI models align with human values and addressing hallucination issues.
- **Synthetic persona and societal dynamics**: Creating and studying synthetic personalities and communities.
- **Regulatory challenges in LLMs**: Tackling data privacy issues and implementing unlearning techniques.
- **Model merging and knowledge verification**: Merging models and verifying the accuracy of generated knowledge.
## Join Us
Be a part of our mission to drive AI innovation! Explore our work, contribute, and collaborate with us to create meaningful advancements.
π» Visit us: [RespAI Lab Website](https://respailab.github.io/)
π€ Join us on Hugging Face: [RespAI Lab Organization](#)
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