Large Language Models Explained | Token, Vector, Transformer (Hindi + English) | Dr. ARG скачать в хорошем качестве

Large Language Models Explained | Token, Vector, Transformer (Hindi + English) | Dr. ARG

What exactly is an LLM? How does ChatGPT really work? What are Tokens, Vectors, Embeddings and Transformers? In this complete Hinglish deep-dive, Dr. ARG explains Large Language Models (LLMs) from absolute basics to advanced level, in a way that even beginners can understand and advanced learners can connect the dots. This video covers: What is a Language Model and LLM Why computers don’t understand text directly Tokens & Tokenization explained clearly Token IDs, Vectors & Embeddings (meaning in numbers) Transformer Architecture in detail Self-Attention, Multi-Head Attention, QKV Positional Encoding & Feed Forward Networks How ChatGPT generates responses LLM limitations and reality check Beginners in AI & Machine Learning Engineering & CS students Working professionals Anyone curious about ChatGPT & AI No heavy maths. No unnecessary jargon. Just clear logic and real understanding. 👍 Like the video if it helped you 🔔 Subscribe to Dr. ARG for deep AI explanations 📌 Comment “NEXT” if you want a Python mini-LLM build series #LLM #LargeLanguageModel #ChatGPT #Transformer #SelfAttention #AIExplained #MachineLearning #DeepLearning #ArtificialIntelligence #DrARG