System Design Guide From Zero: The Only 30 Concepts You Need
Author(s): Divy Yadav Originally published on Towards AI. A complete, beginner-comprehensive guide for designing scalable systems and cracking system design interviews This guide assumes you are a beginner and want to get strong in System Design. I have made it in such …
Principles of Microservice Architecture
Author(s): TechwidSush Originally published on Towards AI. ENGINEERING AT SCALE 🔑 Key Principles of Designing a Microservices Architecture :- Designing a microservices-based system requires more than breaking an application into smaller parts — it requires adopting a set of architectural principles that …
NVIDIA’s Real Moat Isn’t Hardware — It’s 4 Million Developers
Author(s): JP Caparas Originally published on Towards AI. A fact-check of the ‘NVIDIA is dying’ thesis, and what the numbers actually show I watched Theo’s video “Why NVIDIA is dying” yesterday, and I couldn’t stop thinking about it. The core thesis felt …
Power House of LLMs: Vector Databases
Author(s): Sameer Chauhan Originally published on Towards AI. The child turns into an adult Intro Imagine a genius who forgets everything the moment a conversation ends. That was the reality of early large language models. Despite their impressive reasoning abilities, they were …
This One Change Made My Random Forest Faster and More Accurate|Machine Learning|AI
Author(s): Tina Sharma Originally published on Towards AI. I removed most of the trees without retraining the model A Random Forest is a model made by combining many decision trees.Each tree looks at the data slightly differently and makes its own prediction. …
IX. FastAPI — Database Patterns: SQLModel & Alembic
Author(s): Mahimai Raja J Originally published on Towards AI. Deep dive into building scalable data layers Hi! So far we have covered almost every key concept, but without a database nothing can be persisted, right? So, today I will walk you through …
The Builder’s Notes: Your Payer is Using AI to Deny You — Here is the Agentic Architecture to Fight Back
Author(s): Piyoosh Rai Originally published on Towards AI. Traditional denial management (left) vs. agentic pre-authorization architecture (right): The difference between manual appeals and algorithmic precision. The CFO showed me the quarterly RCM report. $2.3M in denied claims. 847 appeals pending. Average time …
How I Built a Custom Databricks MCP Server to Power Agentic AI
Author(s): Vinay Ram Gazula Originally published on Towards AI. In the rapidly evolving world of Agentic AI, the biggest bottleneck isn’t the model’s intelligence — it’s the “glue” code required to connect that model to your data. Every time I wanted to …
Building an ARC-2 Solver — Part 2
Author(s): Rahul Ray Originally published on Towards AI. Cover Here’s something that should be easy: count the holes in a shape. A five-year-old can do it. A frontier AI model worth billions in compute? Not so much. In Part 1, I introduced …
DeepSeek’s Engram: The Missing Primitive That Makes LLMs Stop Wasting Compute on Memory
Author(s): Gowtham Boyina Originally published on Towards AI. The Problem Nobody Noticed On January 13th, DeepSeek dropped a research paper that’s been making waves in the LLM community: “Conditional Memory via Scalable Lookup: A New Axis of Sparsity for Large Language Models.” …
Top 20 RNN, LSTM Interview Questions and Answers (Part 2 of 2)
Author(s): Shahidullah Kawsar Originally published on Towards AI. Machine Learning Interview Preparation Part 13 RNN (Recurrent Neural Network) is used for sequence data like text or daily sales. It processes one step at a time and keeps a hidden state that stores …
Google Admits Gemini Will Think You Love Golf When You Actually Love Your Son
Author(s): Nicholas Borg Originally published on Towards AI. The honest limitations buried in their glossy AI announcement — and why they matter Google announced Personal Intelligence recently, letting Gemini connect to your Gmail, Google Photos, YouTube, and Search history. For the first …
I Built a Voice Assistant That Actually Understands What I Mean, Not What I Said
Author(s): Gowtham Boyina Originally published on Towards AI. Three months of building. $347 in API costs. A voice assistant that couldn’t tell the difference between “What’s ML?” and machine learning. Then I found Qdrant. Response times dropped from 12 seconds to under …
Davos 2026: What the Tech Elite Really Thinks About AI (And What They Avoided Saying)
Author(s): Marc Bara Originally published on Towards AI. An analytical synthesis of 10 public interviews with Amodei, Hassabis, Harari, Musk, Nadella, Huang, Karp, Tegmark, Bengio, and enterprise leaders Davos 2026. Image: World Economic Forum Davos has always been a place where disagreement …
GLM-4.7-Flash: Z.ai’s Free Coding Model and What the Benchmarks Say
Author(s): JP Caparas Originally published on Towards AI. A look at the 30B MoE model that just dropped with unlimited free API access Z.ai announced GLM-4.7-Flash a few hours ago. The model is free. Not “free tier with limits” free, but actually …
Recent Posts
