QualityPoint Technologies (QPT)

Artificial Intelligence Explained: The Ultimate Beginner's Guide to AI, Machine Learning, LLMs, RAG, AI Agents, Data Science, and More

noreply@blogger.com (Rajamanickam Antonimuthu) — Wed, 15 Jul 2026 09:12:10 +0000

Note: You can buy this content as a book from Amazon here.

Introduction

Imagine waking up on a Monday morning.

Before you've even stepped out of bed, you've already interacted with Artificial Intelligence several times.

Your smartphone recognizes your face and unlocks instantly. Your email application quietly moves spam messages out of your inbox. A music streaming app recommends songs that perfectly match your mood. Google Maps warns you about heavy traffic and suggests a faster route to work. When you search for a product online, an e-commerce website somehow seems to know exactly what you might want to buy next.

Join the 2-hour RAG Webinar on 6th July for just $6 / Rs 200

noreply@blogger.com (Rajamanickam Antonimuthu) — Tue, 30 Jun 2026 17:06:43 +0000

Update: For one-on-one AI coaching, read details here.

We know the power of Large Language Models (LLMs). They can be used for brainstorming ideas, building chatbots, writing articles and stories, and even generating code. However, LLMs also have several limitations. They often struggle to access the latest information, cannot directly handle private or domain-specific data, and are prone to hallucinations—generating incorrect or misleading responses. These challenges limit their adoption in commercial environments, especially in critical fields such as healthcare and finance.

What Is a Forward Deployed Engineer?

noreply@blogger.com (Rajamanickam Antonimuthu) — Thu, 18 Jun 2026 14:04:52 +0000

The technology industry continuously creates new roles as software becomes more integrated into real-world business operations. One of the most interesting and fast-growing roles in recent years is the Forward Deployed Engineer (FDE).

Hermes Agent - The AI Agent That Finally Remembers You

noreply@blogger.com (Rajamanickam Antonimuthu) — Sat, 30 May 2026 15:26:44 +0000

Hermes Agent isn't a chatbot wrapper or a coding copilot. It's a self-improving agent that lives on your server, learns from every interaction, and gets smarter the longer it runs.

20 AI Concepts Everyone Should Know

noreply@blogger.com (Rajamanickam Antonimuthu) — Wed, 20 May 2026 16:01:09 +0000

AI is evolving rapidly, and understanding a few core concepts can make modern AI systems much easier to navigate.

Claude Cowork: The Complete Guide for Beginners and Professionals

noreply@blogger.com (Rajamanickam Antonimuthu) — Thu, 07 May 2026 15:34:00 +0000

What is Claude Cowork?

Claude Cowork is Anthropic's agentic AI tool that works directly with files, folders, and applications on your computer to complete tasks autonomously. Unlike traditional AI chatbots that simply answer questions, Cowork is designed to produce actual deliverables—formatted spreadsheets, organized folders, polished presentations, and synthesized research reports.

New Tutorial videos to learn AI

noreply@blogger.com (Rajamanickam Antonimuthu) — Wed, 06 May 2026 14:26:00 +0000

Recently, I did some YouTube Live sessions to teach some AI Topics. You can watch them by clicking the links below.

Claude Code for Beginners

Learning RAG (Retrieval-Augmented Generation)

Mastering SQL

Python for Absolute Beginners Book

AI hallucinations

AI Context Engineering

Digital Marketing in the AI Era

Watch them and add your questions in the comment sections. You can check my books here, and if you need one-on-one AI coaching, read the details here

Ollama: The Complete Guide to Running AI Models Locally (2026)

noreply@blogger.com (Rajamanickam Antonimuthu) — Wed, 22 Apr 2026 09:00:00 +0000

Artificial Intelligence is rapidly evolving—but most people still depend on cloud-based tools like OpenAI or Google Gemini.

What if you could run powerful AI models directly on your own computer, with:

No API cost
No internet dependency
Full privacy

That’s exactly what Ollama enables.

This guide will take you from zero to advanced understanding of Ollama.

FastAPI: A Comprehensive Guide for Building High-Performance APIs in Python

noreply@blogger.com (Rajamanickam Antonimuthu) — Fri, 17 Apr 2026 12:03:00 +0000

FastAPI: A Comprehensive Guide for Building High-Performance APIs in Python

Introduction

In the modern world of web development, building APIs that are fast, scalable, and easy to maintain is critical. Python has long been a favorite language for developers, but traditional frameworks sometimes fall short when performance and developer productivity are both required.

Enter FastAPI — a modern, high-performance web framework for building APIs with Python. It combines speed, simplicity, and powerful features, making it one of the most popular choices for backend development today.

LangGraph: The Future of Stateful AI Workflows

noreply@blogger.com (Rajamanickam Antonimuthu) — Sat, 11 Apr 2026 10:59:00 +0000

Artificial Intelligence development is evolving rapidly. While frameworks like LangChain made it easier to build LLM-powered applications, developers soon hit limitations when workflows became complex.

That’s where LangGraph comes in.

LangGraph is not just another AI framework—it represents a paradigm shift from linear workflows to dynamic, stateful, and agent-driven systems.

In this guide, you’ll learn:

What LangGraph is
Why it was created
Key features and architecture
Real-world use cases
LangGraph vs LangChain
When (and why) you should use it

Claude Code vs Cursor vs GitHub Copilot (2026)

noreply@blogger.com (Rajamanickam Antonimuthu) — Fri, 10 Apr 2026 09:18:00 +0000

Artificial Intelligence is transforming how software is built. What started as simple autocomplete tools has now evolved into intelligent coding agents capable of understanding entire codebases, fixing bugs, and even shipping features.

In 2026, three major tools dominate the AI coding landscape:

Claude Code
Cursor
GitHub Copilot

Each tool represents a different philosophy of coding with AI — and choosing the right one can significantly impact your productivity.

Meet Claude — The AI Assistant Built for Real Conversations

noreply@blogger.com (Rajamanickam Antonimuthu) — Sat, 04 Apr 2026 07:49:00 +0000

What is Claude?

Claude is an AI assistant — a computer program you can have a conversation with using plain, everyday language. You type a question or a request, and Claude reads it, thinks it through, and types back a helpful response. No special commands, no coding required.

Think of Claude like a very well-read, patient friend who happens to know a lot about writing, coding, math, history, science, and almost anything else you can think of. The key difference from a search engine like Google is that Claude doesn't just give you a list of links — it actually talks with you, understands context, and gives you tailored answers.

🧠 Procedural, Episodic, and Semantic Memory in AI

noreply@blogger.com (Rajamanickam Antonimuthu) — Thu, 26 Mar 2026 13:26:00 +0000

Artificial Intelligence is no longer just about answering questions — it’s about remembering, learning, and taking actions intelligently over time. To understand how advanced AI systems (like agents, copilots, and RAG pipelines) work, it’s useful to borrow a concept from cognitive science:

Humans use three types of memory — Procedural, Episodic, and Semantic.

Interestingly, modern AI systems are being designed in a very similar way.

Let’s explore how these memory types translate into AI — and how you can use them to build smarter systems.

Resources to learn RAG (Retrieval-Augmented Generation)

noreply@blogger.com (Rajamanickam Antonimuthu) — Wed, 18 Mar 2026 13:33:00 +0000

Currently, companies are looking for people with knowledge in RAG (Retrieval-Augmented Generation). We can't use LLMs like ChatGPT and Gemini in a commercial setup right now. Because they are subject to hallucination, and cannot deal with the latest information and private information. So, companies are looking for the implementation of RAG to use LLMs for business purposes. So, there is a demand for learning RAG. You need not spend a lot of money to learn RAG. You can inexpensively learn RAG.

You can watch the 2-hour tutorial video below freely to learn RAG. And, if you want personal teaching to learn RAG, read the details here.

And, you can explore buying these books that are useful to learn RAG.

RAG made simple

RAG

RAG FAQ

Courage Alone Is Enough

noreply@blogger.com (Rajamanickam Antonimuthu) — Sun, 08 Mar 2026 16:30:00 +0000

I have released a new book titled "Courage Alone Is Enough: Finding Peace and Happiness Beyond Positive and Negative Events"

You can buy this book from Amazon at https://www.amazon.com/dp/B0GRBTW442 This book is available in Kindle, paperback, and audiobook formats.

It is enrolled into "KDP Select" program. So, Kindle Unlimited members can freely read this book.

I believe this book will be best suited for giving as a gift to your friends and family.

Many years ago, in 2007, I realized that courage alone can bring peace and happiness in all situations, regardless of whether an event appears positive or negative. This realization came to me spontaneously, without deliberate thinking or any other effort from my side. Recently, I shared this experience with ChatGPT and asked it to share its response about this realization. I created this book based on ChatGPT's responses. If you don't like AI content, please ignore this book.

You can buy this book from Amazon at https://www.amazon.com/dp/B0GRBTW442

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

noreply@blogger.com (Rajamanickam Antonimuthu) — Mon, 16 Feb 2026 14:27:00 +0000

DeepAgents are a next-generation agent harness developed within the LangChain ecosystem for building autonomous, long-running, LLM-powered agents that can tackle complex, open-ended workflows. Unlike simple agent loops that call tools step by step, DeepAgents bring a suite of powerful capabilities—planning, context handling, memory, subagents, and flexible backends—to enable agents that are durable, structured, and capable of sophisticated reasoning and task decomposition.

Organoid Intelligence (OI): The Future of Biological Computing

noreply@blogger.com (Rajamanickam Antonimuthu) — Fri, 13 Feb 2026 08:44:00 +0000

Introduction

For decades, intelligence has been associated almost exclusively with silicon-based machines—computers, chips, and artificial neural networks. A new and fascinating field is now emerging at the intersection of neuroscience, biology, and computer science: Organoid Intelligence (OI).

Organoid Intelligence explores how lab-grown brain tissue (organoids) can process information, learn from experience, and potentially perform computational tasks. This idea challenges our traditional understanding of intelligence and opens the door to a new class of biological computers.

RNN vs CNN: A Complete Beginner-Friendly Comparison

noreply@blogger.com (Rajamanickam Antonimuthu) — Wed, 11 Feb 2026 12:27:00 +0000

Deep Learning has transformed how machines understand images, text, audio, and time-series data. Two of the most important neural network architectures behind this success are:

CNN (Convolutional Neural Network)
RNN (Recurrent Neural Network)

Although both are neural networks, they are designed for very different types of problems.
This article explains what they are, how they work, their differences, use cases, pros & cons, and when to use which.

Matplotlib vs Seaborn vs Plotly

noreply@blogger.com (Rajamanickam Antonimuthu) — Wed, 11 Feb 2026 11:56:00 +0000

Data visualization is one of the most crucial skills in data analysis and machine learning. It helps you explore insights, communicate findings, and guide decisions. In Python, three libraries dominate the space:

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

noreply@blogger.com (Rajamanickam Antonimuthu) — Tue, 10 Feb 2026 14:44:00 +0000

Data analysis is the foundation of data science, machine learning, and AI. Before building models, we must understand data, clean it, analyze patterns, and draw conclusions.

This blog walks you through the entire data analysis pipeline, step by step, using simple language and practical intuition.

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

noreply@blogger.com (Rajamanickam Antonimuthu) — Tue, 10 Feb 2026 13:09:00 +0000

A few years ago, I released a book about YouTube that focused on understanding the platform, content creation basics, and earning from videos. Many readers told me it helped them get clarity during their early YouTube journey.

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

noreply@blogger.com (Rajamanickam Antonimuthu) — Mon, 09 Feb 2026 13:58:00 +0000

Machine Learning (ML) often sounds complex, but at its core, it follows a simple idea:

Learn from past data → check if learning is reliable → make predictions for the future

Three fundamental concepts make this possible:

Model Fitting
Prediction
Cross-Validation

In this blog post, we’ll understand each of them step by step, using plain language, real-world intuition, and simple Python examples.

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

noreply@blogger.com (Rajamanickam Antonimuthu) — Fri, 06 Feb 2026 14:39:00 +0000

Artificial Intelligence models are becoming extremely powerful — but also very large and expensive to run.

So researchers asked an important question:

Do we really need to use the entire model for every single input?

The answer led to Mixture-of-Experts (MoE) — one of the most important ideas behind modern large AI models.

This post explains MoE from scratch, with no prior AI knowledge required.

Amazon Bedrock: The Foundation of Enterprise Generative AI

noreply@blogger.com (Rajamanickam Antonimuthu) — Wed, 04 Feb 2026 14:59:00 +0000

In the world of artificial intelligence, generative AI — systems that can produce text, images, code, and more — is reshaping how applications are built and how businesses operate. At the center of this transformation is Amazon Bedrock, a powerful cloud-based service from Amazon Web Services (AWS) designed to make generative AI accessible, scalable, and secure for developers and enterprises alike.

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

noreply@blogger.com (Rajamanickam Antonimuthu) — Mon, 02 Feb 2026 14:41:00 +0000

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, create content, analyze data, and even run complex workflows that would normally require a full team.

In this post, we’ll explore 10 AI tools in 2026 that can replace entire teams, show real-world examples, and explain how they deliver massive productivity gains — without sacrificing quality.