Curiosity · Course availability
Does GGSIPU have a course in Large Language Models?
In this context LLM means 'large language model'. It is not the LL.M. (Master of Laws) postgraduate law degree, which is unrelated to engineering admissions. Not as a standalone degree title, but yes as real coursework: VSET (VIPS-TC) covers Large Language Models inside B.Tech CSE (AI & ML). Large language models are transformer-based neural networks trained on very large text corpora to predict and generate language. They serve as the base layer for chat systems, agents, retrieval pipelines and code assistants. Below is what that coverage actually includes and what to verify before counting on it.
At a glance
- Topic
- Large Language Models
- VSET programme
- B.Tech CSE (AI & ML)
- Coverage at VSET
- Taught as coursework
- Affiliation
- GGSIPU (IP University), Delhi
- Accreditation
- NAAC A++ (VIPS-TC institutional)
How VSET teaches Large Language Models
Large language models are transformer-based neural networks trained on very large text corpora to predict and generate language. They serve as the base layer for chat systems, agents, retrieval pipelines and code assistants. At VSET this maps to documented coursework depth inside B.Tech CSE (AI & ML).
- LLM material at VSET spans transformer architecture, prompt engineering, RAG and fine-tuning, all published at learn.engineering.vips.edu.
- Fine-tuning coverage includes LoRA and QLoRA on open-weight models.
- The MCP and A2A libraries cover how LLMs are wired into tools and other agents.
- Delivered inside the B.Tech CSE (AI & ML) track, a GGSIPU-affiliated programme.
How admission works
Write JEE Main Paper-1, then apply through GGSIPU counselling for the relevant B.Tech programme at VSET. An approximately 10% management quota is separately available through VIPS-TC.
Frequently asked questions
Does GGSIPU have a course in Large Language Models?
Not as a standalone degree title, but yes as real coursework: VSET (VIPS-TC) covers Large Language Models inside B.Tech CSE (AI & ML).
Can undergraduates work with LLMs at VSET?
Yes. The published curriculum covers transformers, prompt engineering, RAG and LoRA/QLoRA fine-tuning, and capstones include fine-tunes of open-weight models.
Are students training models from scratch?
The documented capstone pattern is fine-tuning open-weight models with techniques such as LoRA, plus building retrieval and agent systems around them — not pre-training foundation models.
What hardware supports LLM work?
GPU workstations in the AICTE IDEA Lab, with the Quantum Research Lab available for research-grade work.
Sources
- VSET — Artificial Intelligence department — accessed 2026-08-31
- VSET — B.Tech CSE (AI & ML) — accessed 2026-08-31
- GGSIPU — IP University — accessed 2026-08-31