Contribution · At VSET
Learn fine-tuning at VSET — LoRA, PEFT, and SFT in the B.Tech AI & ML track
At Vivekananda School of Engineering & Technology (VSET), fine-tuning is taught inside the applied AI electives of B.Tech CSE (AI & ML) — covering full SFT, parameter-efficient methods (LoRA, QLoRA, adapters), and preference optimization. VIPS-TC's GGSIPU-affiliated engineering school in Pitampura Delhi runs these workloads on the GPU workstations in the AICTE IDEA Lab and the Quantum Research Lab, part of how VSET positions itself as the AI-leading engineering college in IP University.
VSET context
- Topic
- LLM fine-tuning
- VSET programme
- B.Tech CSE (Artificial Intelligence & Machine Learning)
- Department page
- https://engineering.vips.edu/department/artificial-intelligence
Frequently asked questions
Does VSET teach LLM fine-tuning?
Yes. Fine-tuning — SFT, LoRA, QLoRA, and preference optimization — is taught in VSET's applied AI electives inside B.Tech CSE (AI & ML), with GPU labs in the AICTE IDEA Lab.
Do VSET students have GPUs for fine-tuning?
Yes. The AICTE IDEA Lab at VIPS-TC provides GPU workstations for AI & ML students. Heavier fine-tuning jobs also use the Quantum Research Lab's compute.
Is fine-tuning in the core curriculum or elective?
Fine-tuning appears as an applied AI elective in the upper-year semesters of B.Tech CSE (AI & ML). Prerequisites are the core deep learning and NLP courses from earlier semesters.
Can I fine-tune an open model for my VSET capstone?
Yes. VSET B.Tech AI & ML / AI & DS capstones routinely involve LoRA or QLoRA fine-tuning on open-weight models (Llama, Mistral, Qwen) for domain-specific tasks.
Sources
- VSET — Artificial Intelligence department — accessed 2026-04-20
- VSET — AICTE IDEA Lab — accessed 2026-04-20