AI is Hunting SOC Analysts: How I’m Using AI to Stay Employed (Not Replaced) in 2026
Author(s): Narayan Regmi Originally published on Towards AI. Learn how SOC analysts can use AI tools to enhance their careers instead of being replaced. Discover 5 essential AI tools, automation strategies, and AI-proof skills for 2025. The Meeting That Changed Everything “We’re …
Top Free AI Models Every Developer and Creator Should Know
Author(s): Elsie Rainee Originally published on Towards AI. Free AI Models for Developers and Creators Introduction: Why Paying for AI Isn’t Always the Best Option 🤖 Have you ever felt stuck choosing an AI model? Maybe you’re unsure whether to invest in …
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 …
Why Even Reinforcement Learning Can’t Beat the Casino (And Why I Built a Simulation To Prove It)
Author(s): alopix Originally published on Towards AI. A mathematical and reinforcement learning tour through blackjack, poker, slot machines, and roulette Casinos are one of the few environments where the rules are public, the probabilities are fixed, and the house edge is mathematically …
The Architectural Shift: How AI Tooling is Decomposing the SaaS Development Stack
Author(s): Shashwata Bhattacharjee Originally published on Towards AI. The narrative of solo founders building eight-figure SaaS businesses using AI tools has become increasingly prevalent in entrepreneurial discourse. While the surface-level story focuses on individual success, the underlying technical transformation represents something far …
The Complete Guide to RAG Systems
Author(s): Rashmi Originally published on Towards AI. The Complete Guide to RAG Systems Retrieval-Augmented Generation (RAG) has revolutionized how we build intelligent systems by combining the power of large language models with external knowledge retrieval. As organizations struggle with hallucinations, outdated information, …
LLM & AI Agent Applications with LangChain and LangGraph — Part 18: Trajectory Evaluator
Author(s): Michalzarnecki Originally published on Towards AI. Hi! The next evaluation technique we’ll discuss in this part is the Trajectory Evaluator. This tool doesn’t look only at the final answer produced by the model. Instead, it focuses on the entire reasoning process …
LLM & AI Agent Applications with LangChain and LangGraph — Part 17: Criteria Evaluator
Author(s): Michalzarnecki Originally published on Towards AI. Hi! The next evaluation technique that we will learn in this part is the Criteria Evaluator. The idea is simple, but extremely powerful: the answer generated by your model is passed to another, typically stronger …
How I Built a Chatbot Without APIs, GPUs, or Money
Author(s): Asif Khan Originally published on Towards AI. A locally running RAG chatbot built with Ollama, FastAPI, and Chroma, answering questions strictly from uploaded documents with clear source references. I wanted to create a chatbot, but without spending a single penny. No …
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 …
The Complete RAG Playbook (Part 2): Techniques That Improve Accuracy
Author(s): Ravi Kumar Verma Originally published on Towards AI. The Complete RAG Playbook (Part 2): Techniques That Improve Accuracy Remember the RAG pipeline we built in Part 1? It worked — but if you ran it on real documents, you probably noticed …
Why ChatGPT Feels Like Magic While Siri Feels Dumb.
Author(s): Suchitra Malimbada Originally published on Towards AI. Understanding the fundamental architectural shift from sequential processing to parallel attention, and why it enabled GPT-5’s capabilities that were impossible for LSTMs Created by author GPT-5 scored 100% on the 2025 American Invitational Mathematics …
Top 20 SVM Interview Questions and Answers
Author(s): Shahidullah Kawsar Originally published on Towards AI. Machine Learning Interview Preparation Part 04 Solution Support Vector Machine (SVM) is a popular machine learning algorithm used for classification and regression. In simple terms, SVM tries to separate data into different groups using …
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