Large Language Models Explained | Token, Vector, Transformer (Hindi + English) | Dr. ARG
Автор: Dr. ARG
Загружено: 2026-01-07
Просмотров: 150
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
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📌 Comment “NEXT” if you want a Python mini-LLM build series
#LLM
#LargeLanguageModel
#ChatGPT
#Transformer
#SelfAttention
#AIExplained
#MachineLearning
#DeepLearning
#ArtificialIntelligence
#DrARG
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