Live zoom counselling
Virtual
Tour
11 November 2025

Department of Information Science and Engineering Hosts Workshop on Building Large Language Models from Scratch

Department of Information Science and Engineering Hosts Workshop on Building Large Language Models from Scratch

Bengaluru: The Department of Information Science and Engineering (ISE), in association with the Infosphere Club, organised a One-Day Workshop on “Building Large Language Models from Scratch” on 27 October 2025 at JAIN (Deemed-to-be University). The workshop brought together over 250 students from various disciplines to explore the foundations and implementation of advanced Artificial Intelligence (AI) systems.

The workshop commenced at 9:30 a.m. with a traditional lamp-lighting ceremony, signifying the beginning of the session with wisdom and knowledge. The inaugural event was graced by Dr. Venkadeswaran, Deputy Dean (Academics); Dr. Beem Kumar, Deputy Dean (Research); and Dr. Benaka Prasad, Deputy Dean (Admissions).

In his welcome address, Dr. K. Manivannan, Head of the Department (ISE), emphasised the growing importance of Artificial Intelligence and emerging technologies in both academic and industrial contexts. He highlighted the department’s continued commitment to equipping students with practical, industry-relevant skills.

Addressing the gathering, Dr. Venkadeswaran underscored the transformative role of Large Language Models (LLMs) such as GPT and BERT in revolutionising intelligent systems. He encouraged students to engage actively in experiential learning opportunities that strengthen their understanding of cutting-edge AI advancements.

The technical session was conducted by Mr. Netan Mangal, AI Engineer at Secure Agentics, UK, who provided participants with an in-depth overview of the architecture, principles, and implementation of LLMs. The hands-on session covered essential aspects including transformer architectures, attention mechanisms, model configuration, data preparation, and performance evaluation metrics.

Participants also gained exposure to practical tools and frameworks such as TensorFlow and Hugging Face Transformers, enabling them to design, train, and deploy scalable AI models. Throughout the day, students enthusiastically participated in discussions, problem-solving exercises, and demonstrations, fostering a collaborative learning environment.

Speaking about the workshop, Dr. Lokaiah P, Infosphere Club Coordinator, remarked, “This workshop was a remarkable opportunity for our students to bridge the gap between theory and practice. By engaging directly with the principles of Large Language Models, participants gained the confidence to innovate and contribute meaningfully to the evolving field of Artificial Intelligence.”

The workshop concluded with a vote of thanks by Dr. Lokaiah P, expressing gratitude to the university management, dignitaries, resource person, faculty members, and student coordinators for their collective efforts in making the event a success. The session provided participants with a deep understanding of AI model development and inspired them to pursue advanced research and projects in the domain of Artificial Intelligence.