SiliconTech, the engineering institute of Silicon University, organized an expert talk on Large Language Models (LLMs) and emerging field of Artificial Intelligence (AI) agents on 24 December 2025.
The objective of the talk was to provide its faculty members with a deeper understanding of the latest advancements in AI and foster discussions on cutting-edge research. The event was carefully coordinated to facilitate an enriching experience, offering a platform for intellectual exchange and collaboration among academics.
The session was conducted by Professor Chitta Baral from Arizona State University. Prof. Baral, a leading expert in AI, provided an in-depth exploration of how LLMs function, their capabilities, and their growing impact on various industries. He explained the underlying techniques that drive these models, including deep learning and natural language processing, and discussed how LLMs are transforming applications such as language translation, content creation, and even decision-making systems. Prof. Baral emphasized the vast potential of LLMs in shaping the future of AI and their ability to understand and generate human-like text.
In addition to LLMs, Prof. Baral discussed the rise of AI agents—intelligent systems that can autonomously perform tasks, interact with users, and make decisions without constant human input. He explored the applications of AI agents across fields like healthcare, finance, and robotics, where they are being used to automate processes, assist in complex problem-solving, and improve user experiences. This part of the talk also addressed the ethical implications of AI agents, including concerns about their autonomy, trustworthiness, and potential biases in decision-making.
The session concluded with a thought-provoking discussion on the ethical challenges surrounding both LLMs and AI agents, such as bias in AI models, the need for transparency, and the importance of ensuring safety in their deployment. Prof. Baral urged faculty to engage in interdisciplinary research that bridges AI development with ethical considerations, pushing for responsible innovation. The talk was an inspiring and valuable learning experience for all faculty members, motivating them to pursue high-impact, ethical research in the evolving world of artificial intelligence.
