Decoding LLMs: From Theory to Transformer
🧠 Inside Large Language Models (LLMs): From Basics to Breakthroughs
Ever wondered how ChatGPT and modern AI assistants actually work behind the scenes? 👀
This workshop breaks down Large Language Models (LLMs) in a clear, beginner-friendly way — from early methods to the Transformer revolution that changed everything. ⚡
Whether you're curious about AI, planning to work on LLM projects, or just want to understand the technology shaping the future — this session is for you. 🔥
Here’s what you’ll learn:
📜 From Old-School NLP to Modern LLMs
Understand the evolution of language modeling:
✅ early statistical approaches
✅ neural networks & embeddings
✅ the rise of deep learning in NLP
⚙️ The Transformer Architecture Explained
We’ll explore why Transformers became the backbone of modern AI and how they enable powerful language understanding and generation. 🧩
🌟 Real-World Applications of LLMs
Discover how LLMs are used in:
💬 chatbots & AI assistants
🧠 research and summarization
🧑💻 coding and developer tools
📚 education and productivity
⚠️ Challenges Behind the Hype
We’ll cover the real issues engineers face while building LLM systems:
📈 scaling and training cost
⚡ inference efficiency & latency
🛡️ alignment, safety, and reliability
💻 Running LLMs Locally + The Rise of SLMs
Learn the practical side of the ecosystem:
✅ running LLMs on your own machine
📱 Small Language Models (SLMs) for edge/low-resource devices
🌐 why open-source LLMs are growing rapidly
If you want to truly understand the future of AI — not just use it — this is the session you don’t want to miss. 🚀🔥
📅 Date: 22nd January, 2026
🕒 Time: 2PM
📍 Venue: J411
Learn the fundamentals. Understand the breakthrough. Explore what’s next.