LLM Fundamentals Explained | Architecture, Models & AI Communities | NIIT GenAI Course M3S2

Welcome to Module 3 of NIIT’s Generative AI Program. In this session, we break down the fundamentals of Large Language Models (LLMs) — the powerful AI systems behind tools like ChatGPT, Gemini, Claude, LLaMA, and more. By the end of this video, you will understand: ✅ LLM Architecture (Transformer, Attention, Embeddings, Feed-Forward Layers) ✅ Generative vs Discriminative Models ✅ Core LLM Capabilities ✅ Popular Proprietary and Open-Source LLMs ✅ The Role of AI Communities (Hugging Face, TensorFlow, Kaggle, NLP Groups & More) This session helps you build a strong foundation before moving into pre-processing, fine-tuning, and hands-on LLM usage in later modules. 📘 WHAT YOU WILL LEARN IN THIS VIDEO 🔹 1. What Are LLMs? An introduction to how large language models learn patterns from massive datasets and understand human language. 🔹 2. Transformer Architecture A deep dive into the building blocks of LLMs: Embedding Layer Attention Layer Feed-Forward Networks Stacked Neural Layers 🔹 3. Generative vs Discriminative AI How each model type works and why LLMs fall under the generative family. 🔹 4. Core LLM Functionalities LLMs excel at: Text generation Context understanding Translation Summarization Q&A Reasoning 🔹 5. Popular Proprietary LLMs GPT-4 (OpenAI) LaMDA (Google) Jurassic-1 Jumbo (AI21 Labs) WuDao 2.0 (BAAI) 🔹 6. Open-Source LLMs on Hugging Face BERT GPT-2 T5 (Text-To-Text Transfer Transformer) 🔹 7. AI Communities & Ecosystems Explore the platforms driving the global AI revolution: Hugging Face TensorFlow Kaggle Computer Vision groups NLP communities "Interested in AI" beginner community 📂 MODULE 3 ROADMAP You are watching - Module 3 — Large Language Models (LLMs) M3_01 — Introduction to LLM M3_02 — LLM Fundamentals (this video) M3_03 — Pre-processing Steps of LLMs M3_04 — Types and Use Cases of LLMs M3_05 — Other AI Models Become a part of the global AI community by learning Generative AI, LLMs, Prompt Engineering, and ethical AI development with NIIT. 👉 Start learning now: https://www.niit.com/india/?utm_sourc... TIMESTAMPS: 00:00 Introduction 00:05 What are LLMs? 00:30 Topics covered in this session 00:51 Transformer architecture explained 01:14 Embedding layer 01:57 Attention mechanism 02:40 Feed-forward neural layers 03:15 Generative vs Discriminative models 04:20 Core capabilities of LLMs 06:59 Popular proprietary LLMs 07:53 Open-source LLM examples 08:22 Introduction to AI Communities 08:52 Types of communities 09:29 Hugging Face, TensorFlow, Kaggle 09:53 NLP & CV communities 10:12 Summary 10:19 Closing #AI #LLM #LargeLanguageModels #GenerativeAI #Transformers #DeepLearning #NLP #HuggingFace #GPT4 #NIIT #NIITGenAI #niit #niitlimited #unlockwithniit #niitgenaicourse