Скачать или смотреть 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

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