Super Bowl LX: The Night LLMs Went Fully Mainstream (And What It Actually Teaches Us About AI)
Author(s): Nikhil Originally published on Towards AI. Super Bowl LX is the first time foundation models and AI assistants were simultaneously the product, the message, and part of the underlying infrastructure of the event, and that gives us an unusually clear signal …
Top 20 Regression KPI Interview Questions and Answers (Part 2 of 2)
Author(s): Shahidullah Kawsar Originally published on Towards AI. Machine Learning Interview Preparation Part 23 Key Performance Indicators (KPIs) such as Mean Squared Error (MSE), Root Mean Squared Error (RMSE), and Mean Absolute Error (MAE) provide quantitative ways to measure how closely model …
AI Psychosis, Gas Town, and Beads
Author(s): Bibek Poudel Originally published on Towards AI. Imagine a programmer at 3 AM, lost in a high-speed dopamine loop while managing a dozen AI agents, feeling an illusion of peak performance. From the outside, their output might look like a mad …
Big Tech Is Burning $655 Billion to Build AI on a Power Grid From the 1950s. Musk Says Put It in Space.
Author(s): Zoom In AI Originally published on Towards AI. Your electric bill is helping bankroll Bezos’s compute buildout. Elon wants to move the whole thing into orbit. Neither plan is proven yet. That is the terrifying part. By Zoom In AI | …
Sarvam: Indian AI Breaks Global Monopoly
Author(s): Suraj Pandey Originally published on Towards AI. A Bengaluru startup is rewriting the rules of AI by making technology speak India’s language — literally. For decades, India’s 1.4 billion people have watched artificial intelligence evolve — but rarely in their own …
7 Books That Will Turn You Into an AI Engineer (Even If You Can’t Code Yet)
Author(s): AbhinayaPinreddy Originally published on Towards AI. Stop Wasting Time on Tutorials. Here’s Your Complete Reading Roadmap to Six-Figure AI Jobs. You’ve spent the last three months watching YouTube tutorials about AI. You’ve bookmarked 47 courses. You have 23 tabs open about …
The Generative AI Oligopoly: How Big Tech is Building “Old Moats” for the New Era (2024–2026)
Author(s): Wahidur Rahman Originally published on Towards AI. Is Generative AI Becoming a Big Tech Oligopoly? An In-Depth 2024–2026 Analysis The promise of artificial intelligence was supposed to democratize innovation. Instead, we’re witnessing the construction of the most capital-intensive moat in tech …
Building a Production-Grade Autonomous LLM Agent with Tool Use, Memory, and Multimodal Capabilities
Author(s): Adi Insights and Innovations Originally published on Towards AI. A complete technical walkthrough of designing, implementing, and benchmarking a modern AI agent architecture. This article walks through building a production-grade autonomous agent with: Modern AI systems are moving toward Agentic Architectures, …
I Pitted 3 AI Agents Against Each Other. The Result Was Scary.
Author(s): Adi Insights and Innovations Originally published on Towards AI. A single LLM is a confident liar. But if you make them argue, do they get closer to the truth? Welcome to the “Debate Chamber.” I have a problem with GPT-4. It’s …
The AI That Built Itself: What GPT-5.3-Codex Means For Developers
Author(s): AbhinayaPinreddy Originally published on Towards AI. The First AI Model That Helped Create Its Own Next Version Just Launched. Here’s What Changed. February 5, 2026, 9:45 AM. Anthropic panics and moves their big launch up by 15 minutes. This isn’t just …
Prompt to Protocol: Architecting Agent-Oriented Infrastructure for Production LLMs
Author(s): Shreya Singhal Originally published on Towards AI. The “Chatbot Era” is dead. Here is how to navigate the microservices moment for AI and choose between LangGraph and AutoGen. If you’ve spent the last few years building AI applications, you’ve probably hit …
I “Vibe Coded” Using Cursor (No Code Required)
Author(s): Adi Insights and Innovations Originally published on Towards AI. I “Vibe Coded” Using Cursor (No Code Required) Andrej Karpathy’s new philosophy changes everything. Here is how I built a RAG app by just talking to my computer. Here is how I …
The Role of Signal-to-Noise in Loss Convergence
Author(s): Austin DeWolfe Originally published on Towards AI. Source: Image by author Consider the normal NLP training curve during pre-training. That nice beautiful line of healthy training. Why does it behave like that? Why does the image above not behave like that? …
What Are LLM Parameters? A Simple Explanation of Weights, Biases, and Scale
Author(s): Mandar Panse Originally published on Towards AI. No complicated words. Just real talk about how this stuff works. Large Language Models (LLMs) like GPT, LLaMA, and Mistral contain billions of parameters, primarily weights and biases, that define how the model understands …
7 Powerful Prompt Engineering Techniques That Transform LLM Performance
Author(s): TANVEER MUSTAFA Originally published on Towards AI. 7 Powerful Prompt Engineering Techniques That Transform LLM Performance Prompt engineering is the critical skill of crafting instructions that guide Large Language Models (LLMs) to produce reliable, structured outputs. This article explores how the …
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