Ajitesh Kumar

I have been recently working in the area of Data analytics including Data Science and Machine Learning / Deep Learning. I am also passionate about different technologies including programming languages such as Java/JEE, Javascript, Python, R, Julia, etc, and technologies such as Blockchain, mobile computing, cloud-native technologies, application security, cloud computing platforms, big data, etc. I would love to connect with you on Linkedin. Check out my latest book titled as First Principles Thinking: Building winning products using first principles thinking.

Mathematics Topics for Machine Learning Beginners

In this blog, you would get to know the essential mathematical topics you need to cover to become good at…

2 weeks ago

Questions to Ask When Thinking Like a Product Leader

This blog represents a list of questions you can ask when thinking like a product leader. The topic includes identifying…

2 weeks ago

Three Approaches to Creating AI Agents: Code Examples

AI agents are autonomous systems combining three core components: a reasoning engine (powered by LLM), tools for external actions, and…

3 weeks ago

What is Embodied AI? Explained with Examples

Artificial Intelligence (AI) has evolved significantly, from its early days of symbolic reasoning to the emergence of large language models…

2 months ago

Retrieval Augmented Generation (RAG) & LLM: Examples

Last updated: 25th Jan, 2025 Have you ever wondered how to seamlessly integrate the vast knowledge of Large Language Models…

5 months ago

How to Setup MEAN App with LangChain.js

Hey there! As I venture into building agentic MEAN apps with LangChain.js, I wanted to take a step back and…

5 months ago

Build AI Chatbots for SAAS Using LLMs, RAG, Multi-Agent Frameworks

Software-as-a-Service (SaaS) providers have long relied on traditional chatbot solutions like AWS Lex and Google Dialogflow to automate customer interactions.…

5 months ago

Creating a RAG Application Using LangGraph: Example Code

Retrieval-Augmented Generation (RAG) is an innovative generative AI method that combines retrieval-based search with large language models (LLMs) to enhance…

6 months ago

Building a RAG Application with LangChain: Example Code

The combination of Retrieval-Augmented Generation (RAG) and powerful language models enables the development of sophisticated applications that leverage large datasets…

6 months ago

Building an OpenAI Chatbot with LangChain

Have you ever wondered how to use OpenAI APIs to create custom chatbots? With advancements in large language models (LLMs),…

6 months ago

How Indexing Works in LLM-Based RAG Applications

When building a Retrieval-Augmented Generation (RAG) application powered by Large Language Models (LLMs), which combine the ability to generate human-like…

6 months ago

What are AI Agents? How do they work?

Artificial Intelligence (AI) agents have started becoming an integral part of our lives. Imagine asking your virtual assistant whether you…

6 months ago

Agentic AI Design Patterns Examples

In the ever-evolving landscape of agentic AI workflows and applications, understanding and leveraging design patterns is crucial for building effective…

6 months ago

List of Agentic AI Resources, Papers, Courses

In this blog, I aim to provide a comprehensive list of valuable resources for learning Agentic AI, which refers to…

6 months ago

Understanding FAR, FRR, and EER in Auth Systems

Have you ever wondered how systems determine whether to grant or deny access, and how they balance the risk of…

7 months ago

Top 10 Gartner Technology Trends for 2025

What revolutionary technologies and industries will define the future of business in 2025? As we approach this pivotal year, the…

7 months ago