Welcome to My Tech-Journal

A space where I share my thoughts, experiences, and learnings on technology, programming, and innovation. Expect in-depth articles, tutorials, and projects that showcase my expertise in web development, cloud computing, machine learning, and more!

Check out the latest posts below!!

30 DAYS, 30 DEEP LEARNING PROJECTS

After completing my 30 Days, 30 Machine Learning Projects Challenge, I’m ready for the next step: 30 Days, 30 Deep Learning Projects! This new challenge will guide me through deep learning, starting with the basics of neural networks and building up to advanced topics like GANs, Transformers, and BERT. I’ve designed the challenge to gradually increase in complexity, making it a perfect learning journey. If you’re ready to dive into deep learning, read moe to join me on this journey!

MACHINE LEARNING FAQ

This page contains an easy explaination of common jargons of machine learning.

30 DAYS, 30 MACHINE LEARNING PROJECTS

I’ve been learning a lot about AI and machine learning from online courses. But reading tutorials is getting boring, even though I know the basics. As a web developer, I like to learn by doing. So, I have challenged myself to do this challenge of completing 30 small projects in 30 days. Come join me on this journey!

INSIDE THE CODEBASE: A DEEP DIVE INTO DRUPAL RAG INTEGRATION

Welcome back! After our first article that showed you our new Drupal Rag Integration app, many of you liked it. Thank you! Today, let’s look at how the code works.

BUILD SMART DRUPAL CHATBOTS WITH RAG INTEGRATION AND OLLAMA

As a Drupal developer who values open-source solutions, I was excited to explore the potential of combining Drupal and Ollama. Drupal is one of the most popular CMS platforms worldwide. Tesla, Nokia, and Oxford University are just a few examples of high-traffic websites powered by Drupal. Among the many reasons why Drupal is used by so many companies, the core one that resonates with me is its open-source nature.

DOCUMENTOR: BUILD A RAG CHATBOT WITH OLLAMA, CHROMA & STREAMLIT

In this article, we build a Retrieval-Augmented Generation (RAG) web application called DocuMentor that allows users to upload PDF documents and ask questions about the contents. Let’s understand this with the help of a real-world example

SONG RECOMMENDER: BUILDING A RAG APPLICATION FOR BEGINNERS FROM SCRATCH

Have you been trying to understand RAG and read a bunch of articles, yet feel overwhelmed by how complicated it seems to implement? You’ve just hit the jackpot. In this article, I aim to demystify the RAG concept and demonstrate its utility by building a hands-on song recommender application – all without unnecessary complexity. There’s no need for a deep understanding of AI and machine learning; basic knowledge of Python and a willingness to learn something new are all that’s required. So, without further ado, let’s get started.

RETRIEVAL AUGMENTED GENERATION (RAG): A BEGINNER’S GUIDE TO THIS COMPLEX ARCHITECTURE.

RAG, or Retrieval Augmented Generation, is getting a lot of talk these days. It’s pretty exciting, but also a bit confusing for beginners. In this article I attempt to explain RAG in a way that’s easier to understand, without all the complex tech words.

DRUPAL CODE ASSISTANT: BUILD CHATBOT USING OLLAMA

In our previous article, we explored how to create custom models using Ollama. If you haven’t read it yet, I encourage you to start there. Now, let’s expand on that knowledge by crafting a frontend chatbot application for our Drupal Code Assistant. Let’s dive right into coding it.

AI HELPER: BUILD YOUR OWN CUSTOM LLM MODEL ON OLLAMA

As a Drupal Developer, my day includes coding, reviewing, and debugging - all in a day’s work. But what if I had a reliable assistant to help me out? Someone who could review my code, find bugs, suggest improvements, or even generate new code! Let’s see how Ollama can make the job easy.