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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](#) | |