26/11/2025
๐๐๐๐๐๐๐ ๐๐๐๐๐๐๐๐๐๐๐๐:
In the world of Artificial Intelligence, bigger isn't always better. For vocational training, we need models that are efficient, fast, and experts in specific tradesโnot just general knowledge.
We are pleased to announce the researchers from ๐๐๐๐ก๐๐๐ ๐๐๐ who are building these specialized engines for the ๐๐-๐๐ค๐ก๐ญ๐ข๐ฒ๐๐ซ ๐๐๐ฐ๐๐ง ๐๐ซ๐จ๐ฃ๐๐๐ญ.
๐๐ฉ๐๐๐ค๐๐ซ๐ฌ: ๐๐ฌ. ๐๐๐๐๐ฅ๐ & ๐๐ซ. ๐๐ฎ๐ก๐๐ฆ๐ฆ๐๐ ๐๐๐๐๐๐ฅ (Researchers, MachVIS Lab, NUST SEECS)
๐๐จ๐ฉ๐ข๐: โ๐๐ฆ๐๐ฅ๐ฅ ๐๐๐ง๐ ๐ฎ๐๐ ๐ ๐๐จ๐๐๐ฅ๐ฌ ๐๐จ๐ซ ๐๐จ๐ฆ๐๐ข๐ง-๐๐ฉ๐๐๐ข๐๐ข๐ ๐๐ฎ๐๐ซ๐ข๐๐ฌโ
While everyone talks about Massive LLMs, Ms. Adeela and Mr. Nabeel will explain why Small Language Models (SLMs) are the game-changer for this project. They will demonstrate how they are fine-tuning these models to answer complex technical queriesโfrom automotive repair to electrician guidesโwith high accuracy and low computing costs.
๐๐๐ฒ ๐๐ข๐ฌ๐๐ฎ๐ฌ๐ฌ๐ข๐จ๐ง ๐๐จ๐ข๐ง๐ญ๐ฌ:
1. Efficiency: Running powerful AI on local devices without needing expensive supercomputers.
2. Domain Expertise: Training models specifically on technical vocational datasets.
3. Accuracy: Reducing hallucinations to ensure students get safe and correct technical advice.
Join ๐๐๐๐ก๐ฏ๐ข๐ฌ, ๐๐๐๐, and our partners to explore the cutting edge of efficient AI.
Funded by : DAAD German Academic Exchange Service
Partners: RPTU Kaiserslautern-Landau , National University of Sciences and Technology (NUST), Machine Vision and Intelligent Systems Lab , NUST School of Electrical Engineering & Computer Science
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๐๐๐ญ๐: 27 November 2025
๐ ๐๐๐ง๐ฎ๐: Seminar Hall, NUST SEECS, Islamabad
Organizers:
Prof Dr Muhammad Moazam Fraz
Dr Muhammad Imran Malik
Dr Junaid Younas