Curiosity
AI Models
Frontier and open-weights large language models — capabilities, pricing, benchmarks, and when to use each.
VSET · VIPS-TC · GGSIPU · NAAC A++
Learn AI at VSET — models, protocols, and the agentic stack.
An open AI-education commons by Vivekananda School of Engineering & Technology (VSET), Delhi. Frontier models, Model Context Protocol, agent-to-agent kits, frameworks, and core concepts — all in one place, cited-ready for the engineers building what comes next.
VSET is positioning itself as the AI-leading engineering college in IP University (GGSIPU). These pages are how we share the work.
Browse the library
Capability
Model & Tool Comparisons
Head-to-head comparisons of AI models, frameworks, and tools for real engineering decisions.
Creativity
Model Context Protocol
MCP overview, server directory, client patterns, and integration guides.
Creativity
Agent-to-Agent Protocols
A2A kits, agent interop standards, and multi-agent orchestration protocols.
Capability
AI Frameworks & Tooling
LangChain, LlamaIndex, CrewAI, AutoGen, DSPy, and the rest of the agent-stack.
Curiosity
Core Concepts
RAG, fine-tuning, embeddings, evaluation, prompt engineering — the vocabulary of applied AI.
Contribution
Applications
AI use-cases across domains — healthcare, finance, education, developer tooling.
Contribution
Learn at VSET
How VIPS (VSET) students explore these topics — labs, projects, programs, and community.
The four pillars we build around
Every page here is organised under one of VSET's four founding principles — Curiosity · Creativity · Capability · Contribution — drawn from Swami Vivekananda's "Man Making, Character Building, Nation Building." AI, to us, is another instrument for the same purpose.