Sahi PadhAI

This channel is dedicated to providing comprehensive and accessible education in the realms of Artificial Intelligence, Natural Language Processing, Machine Learning, Deep Learning, Data Science, Large Language Models, and Data Engineering. Designed to cater to graduate and postgraduate engineering students, as well as early-stage PhD researchers, the content aims to simplify complex concepts for enhanced understanding.

This channel dives deep into the architectures powering today’s intelligent systems — Attention Networks, Transformers, RAG, and beyond.

You’ll gain interview-ready understanding and clarity to build and explain AI systems like a pro.

Perfect for learners aiming for MAANG roles or AI specialization.

#NLP #AI #MachineLearning #DeepLearning #Transformers #AgenticAI #MAANGPrep
#ArtificialIntelligence #MachineLearning #DeepLearning #NaturalLanguageProcessing #DataScience #LargeLanguageModels #NLPtutorials #Sahipadhai #LLMs #AIAlgorithms

How to build your AI Agents using Crew AI and React paradigm | AI AGENTS from scratch

How to build your AI Agents using Crew AI and React paradigm | AI AGENTS from scratch
Finetune BERT model for sentence classification from scratch with pretraining theory

Finetune BERT model for sentence classification from scratch with pretraining theory
Discover the POWER of Multi AI Agent Systems in Hindi

Discover the POWER of Multi AI Agent Systems in Hindi
Learn most important concepts of deep learning |Activation functions | Regularization | Initialise

Learn most important concepts of deep learning |Activation functions | Regularization | Initialise
How is Google Gemini affecting your privacy ?

How is Google Gemini affecting your privacy ?
Decoder Architecture in Transformers explained with masked attention and cross attention (Hindi)

Decoder Architecture in Transformers explained with masked attention and cross attention (Hindi)
LLM Tokenization Secrets EXPOSED! Byte Pair Encoding Explained

LLM Tokenization Secrets EXPOSED! Byte Pair Encoding Explained
The funniest guide to make roti with theory and practical for Indians in Hindi

The funniest guide to make roti with theory and practical for Indians in Hindi
AI EXPERT Warns AI Hype Has Gone Too Far

AI EXPERT Warns AI Hype Has Gone Too Far
What If You're Using the WRONG AI Tech Stack for Your Python AI Agents (Hindi)? Hardware RAG LLM

What If You're Using the WRONG AI Tech Stack for Your Python AI Agents (Hindi)? Hardware RAG LLM
A Brief History of AI (100 years) | Alan Turing | Entire history of AI since 1936 (Hindi)

A Brief History of AI (100 years) | Alan Turing | Entire history of AI since 1936 (Hindi)
How Oracle controls every AI company (and Government) || World's richest person || CIA Client

How Oracle controls every AI company (and Government) || World's richest person || CIA Client
Simplest Explanation of Transformer Architecture: MHA, Positional Encoding, Layer Norm (Add & Norm)

Simplest Explanation of Transformer Architecture: MHA, Positional Encoding, Layer Norm (Add & Norm)
Attention for neural networks and Transformers || Interview Preparation || Clear Explanation

Attention for neural networks and Transformers || Interview Preparation || Clear Explanation
Large Language Model in brief | Transformers explained | Deep Dive into LLMs

Large Language Model in brief | Transformers explained | Deep Dive into LLMs
Text Embedding Models working and use case

Text Embedding Models working and use case
Evaluating ML models| Evaluation metrics for Machine Learning (Accuracy, F1, ROC, More)

Evaluating ML models| Evaluation metrics for Machine Learning (Accuracy, F1, ROC, More)
Simple and In depth Math intuition for Logistic Regression in Hindi

Simple and In depth Math intuition for Logistic Regression in Hindi
Simplest and In depth math intuition for Linear Regression in Hindi

Simplest and In depth math intuition for Linear Regression in Hindi
Complete AI engineer Roadmap | Sahi Padhai

Complete AI engineer Roadmap | Sahi Padhai
Good Turing Smoothing Examples | Calculation of Probabilities| Sahi Padhai

Good Turing Smoothing Examples | Calculation of Probabilities| Sahi Padhai
Power of GloVe - Revolutionizing Natural Language Processing

Power of GloVe - Revolutionizing Natural Language Processing
CBOW and SKIP-GRAM Embeddings

CBOW and SKIP-GRAM Embeddings
In depth mathematical explanation of weight updates in CBOW model of word2vec

In depth mathematical explanation of weight updates in CBOW model of word2vec
In depth Math intuition of Word2Vec Weight Updates , Objective and Loss Function

In depth Math intuition of Word2Vec Weight Updates , Objective and Loss Function
Simple explanation of Word2Vec Embedding Technique in depth math intuition | CBOW | NLP

Simple explanation of Word2Vec Embedding Technique in depth math intuition | CBOW | NLP
The Surprising Abilities of BARD AI: Master Every Task Like a Pro

The Surprising Abilities of BARD AI: Master Every Task Like a Pro
Basic Word Embeddings | Advanced NLP Techniques | Sahi Padhai

Basic Word Embeddings | Advanced NLP Techniques | Sahi Padhai
tf-idf | term frequency | inverse document frequency | NLP | Sahi Padhai

tf-idf | term frequency | inverse document frequency | NLP | Sahi Padhai