Generative AI and Large Language Models (LLMs) are transforming the way we interact with technology, enabling machines to understand context, generate content, and assist with complex tasks.
Dr. Indrajit Mandal explores the capabilities of GenAI and LLMs to develop intelligent, reliable, and practical solutions for real-world applications. His work focuses on understanding modern AI models and applying them to areas such as knowledge discovery, automation, content generation, and intelligent decision-making.
Key Research Areas
- Large Language Models (LLMs) – Model training, fine-tuning, and domain adaptation
- Prompt Engineering – Designing and optimizing effective prompts
- Generative AI – Text generation, summarization, and content creation
- Knowledge Retrieval – Retrieval-augmented generation and question answering
- AI Agents & Automation – Intelligent workflows and autonomous task execution
- Responsible AI – Reliability, safety, fairness, and bias mitigation
- Real-World Applications – Applying GenAI to practical challenges across domains
The research aims to bridge the gap between human intent and machine intelligence, leveraging the power of Generative AI and LLMs to create smarter, more efficient, and human-centered solutions.
