What Mistakes Did I Make in Vibe Coding Genie-Hi
Author(s): Gabrielle Y Originally published on Towards AI. The First Leap: When Vibe Coding Feels Like Magic When I first started vibe coding Genie-Hi, I genuinely thought it would simply help me move faster. I typed a few sentences describing what I …
How Video Streaming Actually Works: Why YouTube Starts Playing in 3 Seconds (System Design Explained)
Author(s): Divy Yadav Originally published on Towards AI. Photo by Gemini You click play on a YouTube video. Within 2 seconds, it starts playing. But here’s what blows my mind: that video is 4 GB, sitting on a server thousands of miles …
The Complete RAG Playbook (Part 3): Advanced Architectures
Author(s): Ravi Kumar Verma Originally published on Towards AI. The Complete RAG Playbook (Part 3): Advanced Architectures In Part 2, we upgraded the basic RAG pipeline with 12 techniques that improved chunking, context, queries, and retrieval. Those techniques work great — until …
The Complete RAG Playbook (Part 4): Evaluation & Choosing What Works
Author(s): Ravi Kumar Verma Originally published on Towards AI. The Complete RAG Playbook (Part 4): Evaluation & Choosing What Works We’ve covered 19 RAG techniques across three parts. You’ve seen chunking strategies, context enrichment, query transforms, rerankers, and advanced architectures. But there’s …
No Libraries No Shortcuts: Reasoning Models from Scratch with PyTorch — Part 1
Author(s): Ashish Abraham Originally published on Towards AI. The no BS Guide to implementing LLMs with Mixture of Experts, RoPE, and Grouped Query Attention from scratch There is this term called “moment” that has been spooking and exciting AI investors of this …
The ML Evaluation Math You Can Actually Trust
Author(s): Akshat shah Originally published on Towards AI. Train/Val/Test, Cross-Validation, and Data Leakage Photo by Thomas T on Unsplash Machine learning isn’t just “a model that predicts things.” In the real world it’s a measurement process. You build a pipeline, and you …
The Ghost Teacher: Why Yann LeCun Says “Generative” AI might be a Dead End
Author(s): Siddharth M Originally published on Towards AI. Meta’s latest 7B-parameter vision model (DINOv3) proves that “labels” are the bottleneck of intelligence. Here is the definitive engineering deep dive into Gram Anchoring, the Ghost Teacher, and the future of Objective-Driven AI. Yann …
Beyond Vector Search: Building an Adaptive Retrieval Router for Agentic AI Systems
Author(s): Abi Originally published on Towards AI. A hands-on guide to making retrieval a learnable decision layer—with code, architecture, and production trade-offs. Vector search works great for “one query, one answer” workflows. But agentic AI systems retrieve multiple times across a plan …
SQL for Data Analysts:
Author(s): Gitanjali Originally published on Towards AI. SQL powers most data analyst roles today. If you work with data, chances are you will spend a large part of your day writing SQL queries. SQL allows you to work directly with data stored …
AI Agents in Production: What Actually Works (Based on 300+ Deployments)
Author(s): Artem Shelamanov Originally published on Towards AI. As 2025 comes to an end, everyone wants to wrap themselves in cozy blankets, stare at the Christmas tree, and relax with a mug of hot cocoa. Instead, many data scientists are working overtime …
How I Automated Sales KPI Reporting with n8n and Cut 99% of Manual Work
Author(s): Apoorvavenkata Originally published on Towards AI. Every sales organization depends on understanding which distributors perform best and which items drive the most volume. Yet in many analytics teams, this information remains trapped in spreadsheets, requiring manual cleanup, complex formulas, pivot tables, …
How to Craft a Strong AI/ML Thesis Statement
Author(s): Ayo Akinkugbe Originally published on Towards AI. Defining Scope, Hypotheses, and Contribution Boundaries for Clarity, Testability, and Impact in AI & ML Research Photo by Omar:. Lopez-Rincon on Unsplash Snapshot A thesis statement is the central claim of your dissertation or …
Understanding Retrieval in RAG Systems: Why Chunk Size Matters
Author(s): Sarah Lea Originally published on Towards AI. A step-by-step retrieval guide using sentence transformers, chunk size and similarity scores. These are exactly the kinds of answers we expect today from retrieval-augmented generation systems. You upload a PDF, ask a few questions, …
I Tested 12 Quantization Methods: The Winner Surprised Me (2-Bit vs 4-Bit)
Author(s): Manash Pratim Originally published on Towards AI. Small LLM Engineering #7 Everyone says 4-bit quantization is the practical limit. Image generated using AIThis article explores the implications of different quantization methods for machine learning models, particularly focusing on 2-bit and 4-bit …
The AI Engineering Bookshelf: Five Books That Changed How I Think About Building AI Systems
Author(s): Hamza Khaled Mahmoud Originally published on Towards AI. The AI Engineering Bookshelf: Five Books That Changed How I Think About Building AI Systems Few engineers have the luxury of reading every technical book cover-to-cover. I certainly haven’t. But deep engagement with …
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