What Are DeepAgents in LangChain? — A Comprehensive Guide (2026)

DeepAgents are a next-generation agent harness developed within the LangChain ecosystem for building autonomous, long-running, LLM-powered... read more

Organoid Intelligence (OI): The Future of Biological Computing

Introduction For decades, intelligence has been associated almost exclusively with silicon-based machines—computers, chips, and artificial n... read more

RNN vs CNN: A Complete Beginner-Friendly Comparison

Deep Learning has transformed how machines understand images, text, audio, and time-series data . Two of the most important neural network a... read more

Matplotlib vs Seaborn vs Plotly

Data visualization is one of the most crucial skills in data analysis and machine learning. It helps you explore insights, communicate findi... read more

A Beginner’s Guide to Data Analysis: From NumPy to Statistics

 Data analysis is the foundation of data science, machine learning, and AI. Before building models, we must understand data, clean it, analy... read more

My new book "AI for YouTubers" is Now Available on Amazon

 A few years ago, I released a book about YouTube that focused on understanding the platform, content creation basics, and earning from vid... read more

Model Fitting, Prediction, and Cross-Validation in Machine Learning

 Machine Learning (ML) often sounds complex, but at its core, it follows a simple idea: Learn from past data → check if learning is reliab... read more

Mixture-of-Experts (MoE): A Beginner-Friendly, Complete Guide

Artificial Intelligence models are becoming extremely powerful — but also very large and expensive to run . So researchers asked an importa... read more

Amazon Bedrock: The Foundation of Enterprise Generative AI

In the world of artificial intelligence, generative AI — systems that can produce text, images, code, and more — is reshaping how applicati... read more

Top 10 AI Tools That Can Replace an Entire Team (With Examples)

AI is no longer a futuristic concept — it’s actively transforming how work gets done. Today’s AI tools are powerful enough to automate tasks... read more

RAG (Retrieval-Augmented Generation) – FAQ

Read below some FAQ for RAG.  If you want to learn RAG from personal coaching, read the details  here . 1. Why do LLMs “hallucinate” without... read more

Vector Databases Explained: The Brain Behind Modern AI Applications

 Imagine asking a computer: “Find articles that feel similar to this one” “Search my notes even if I don’t remember exact words” “Answe... read more

math vs cmath in Python: What’s the Difference and When Should You Use Each?

Python provides two powerful built-in modules for mathematical operations: math and cmath . At first glance, they look similar—both offer f... read more

AI vs Automation vs Agents: What’s the Real Difference in 2026?

Artificial intelligence (AI), automation, and AI agents are among the most talked-about technologies today. But despite the buzz, many peopl... read more

Why 80% of AI Projects Fail (And How to Avoid It)

Artificial Intelligence is everywhere—chatbots, recommendation systems, fraud detection, demand forecasting, and more. Yet despite massive i... read more

Data Engineering vs Data Science

In today’s data-driven world, Data Engineering and Data Science are two of the most in-demand roles. They work closely together, yet their... read more

Are Learning and Loop the Same in AI Agents?

 As AI agents become more popular, many learners ask an important question: “Is learning the same as looping in AI agents?” At first gla... read more

Data Analytics vs Data Science vs Artificial Intelligence

In today’s tech-driven world, terms like Data Analytics , Data Science , and Artificial Intelligence (AI) are used everywhere — often inter... read more

Gradient Descent Explained: The Backbone of Machine Learning

 Gradient Descent is one of the most important optimization algorithms in machine learning and deep learning. From linear regression to neur... read more

Attention Mechanism in AI & Large Language Models (LLMs)

Artificial Intelligence models like ChatGPT, Claude, Gemini , and many others owe much of their intelligence to a powerful idea called the a... read more

Python Libraries That Are Useful for Automation

Automation means making computers do repetitive work automatically — saving time, reducing errors, and improving productivity. Python is on... read more

Watch RAG webinar freely

Recently, I did a YouTube Live session for around 2 hours to teach RAG (Retrieval-augmented generation) in a simple and effective manner. I... read more

RecursiveCharacterTextSplitter Explained (The Most Important Text Splitter in LangChain)

  When building AI applications using Large Language Models (LLMs), handling long text correctly is critical . Because LLMs have context wi... read more

Git, GitHub, and VS Code: A Beginner‑Friendly Guide for AI Developers

If you are starting your journey in AI, Machine Learning, or software development , you will quickly hear terms like Git , GitHub , reposito... read more

GitHub Gist: A Simple Way to Share Code Snippets and Notes

In the world of software development, sharing small pieces of code is a daily activity. You might want to share a quick example with a frien... read more

How LLM Usage Is Measured for Text, Audio, and Video Inputs

Large Language Models (LLMs) like ChatGPT are often described as token-based systems . Most people know that text usage is measured in token... read more

Python List Operations Explained: append() vs extend() vs + Operator

  When working with Python lists, adding elements is one of the most common operations. Python provides multiple ways to do this, and begin... read more