LLMs Explained From Scratch 🚀 | Data to Deployment Full Journey in Hindi

The Complete Journey of Large Language Models (LLMs) Explained!

In this video, we explore how modern AI Large Language Models like OpenAI GPT-4, Meta LLaMA, Claude, BLOOM, and other advanced AI systems are created, trained, optimized, deployed, and aligned for real-world applications.

From Transformer Architecture and Tokenization to GPU Training Clusters, RLHF, Quantization, AI Safety, Deployment Pipelines, and the Future of AGI — this video provides a complete cinematic overview of the LLM ecosystem in a simple and visually engaging way.

📌 Topics Covered:

Introduction to Large Language Models
Transformer Architecture
Training Data & Tokenization
Self-Supervised Training
GPU Infrastructure & Compute
Fine-Tuning & RLHF
Evaluation & Benchmarks
Deployment & Optimization
AI Safety, Privacy & Governance
Real-world LLM Case Studies
Future Scope of AI & AGI

📂 Resources Included:
✅ LLM Visual Graph
✅ Mini Research Report PDF
✅ Architecture & Deployment Flow Diagrams

📥 Download Resources Here:
🔗https://drive.google.com/drive/folders/1RhLZ63dxEi5eUghlQpBsW7_xw3sYhWA9?usp=drive_link

🎥 Tools & Technologies Mentioned:

Transformer Neural Networks
NVIDIA GPU Clusters
Quantization & Distillation
RLHF & Alignment
Cloud AI Infrastructure
Open-source & Closed-source LLMs

⚡ Whether you're an AI enthusiast, developer, student, or researcher, this video gives you a fast yet detailed understanding of how modern AI language models work behind the scenes.

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#AI #LLM #ArtificialIntelligence #GPT4 #LLaMA #MachineLearning #DeepLearning #GenerativeAI #Transformer #AGI #OpenAI #MetaAI #FutureTechnology

Видео LLMs Explained From Scratch 🚀 | Data to Deployment Full Journey in Hindi канала rudra quant tatva