ITDogtics - Blog

Deepseek: The AI That's Shaking Things Up (And Why You Should Care) Introduction: The world of Artificial Intelligence is constantly evolving, but every now and then, something truly groundbreaking comes along. Deepseek is one of those moments. Its arrival has caused ripples, even impacting the stock market. Why? Because it's not just another AI model; it's a significant leap forward in how AI learns and operates. In this blog, we'll break down the magic behind Deepseek, even if you're new to the world of AI. We'll explore: What makes Deepseek fundamentally different from other AI models? How does Deepseek's innovative approach actually work? What are the potential implications of Deepseek for the future of AI? Let's demystify Deepseek and understand why it's making such a splash. 1. What Makes Deepseek Fundamentally Different? To understand Deepseek, we need to talk about how AI models typically learn. There are three primary methods: Supervise...

Whoa! AI is Going Wild!  Seriously, it feels like every single day there's a brand new AI tool or model popping up for, well, just about everything! I remember, not that long ago, as a software engineer, it was crazy seeing Claude drop their code thing and then Google's Gemini Code land almost at the same time – like, in the same week! It's non-stop, and honestly, it feels like this AI train has left the station and isn't slowing down. So, I'm writing this for anyone who's curious about AI or maybe feeling a bit lost in all the hype. Who's this for? Anyone who thinks AI is kinda cool. Anyone who's like, "What the heck is going on with AI?!" You might think the AI explosion started when ChatGPT showed up in November 2022, but actually, things were brewing way before that. A Quick Look Back at the AI Story Back in the day (around 2015!), the smart folks in universities were already writing tons of papers trying to solve all sorts of problems w...

Building AI Code Generation Tools from Scratch in Python 3: A Journey from Zero to Everything (Part 3) Welcome back! If you missed the previous parts, you can find them here: Part 1 : Covered the basic workflow, fundamental code generation, directory creation, file generation, and folder automation. Part 2 : Addressed the limitations of the prompts and Large Language Models (LLMs) used in Part 1. In this installment, we'll focus on the compilation pipeline. Disclaimer: I won't be sharing the complete project code directly. My goal is to encourage discussion and collaboration. For Beginners: Use this as a guide to build your own project and join the conversation. I'm happy to help with any learning challenges. For Experienced Developers: Please share your insights and discuss potential improvements. Recap In Part 1, we established the foundation for the compilation phase. This phase is crucial for identifying syntax errors, warnings, and coding inconsistencies. Our...

How Computers Work: From Simple Switches to Quantum Leaps Introduction: In today's world of AI, you might hear that learning the basics of computers isn't needed anymore. But understanding how computers work is like knowing the foundation of a building. It helps you see how AI itself is built! Let's take a journey from the very beginnings of computing to the exciting future of quantum computers. Target Audience Beginners: If you're curious about how computers work, this is for you. Those with Some Knowledge: Even if you know a little, we'll explore some fresh ways of thinking. The Starting Point: On and Off (Bits) Computers use electricity. Think of it like a light switch: it's either on or off. In computer language, 'on' is 1, and 'off' is 0. We call these 1s and 0s 'bits.' Building Blocks: Combining Bits Imagine a little device that can read these 1s and 0s very quickly. If we group these bits together, like four at a time, we can ...