The Socratic Prompt: How to Make a Language Model Stop Guessing and Start Thinking
Author(s): Udi Lumnitz Originally published on Towards AI. Socrates Teaching the Machine to Doubt Picture a familiar scene. A team room. A half-written spec. A question tossed into the air like a crumpled receipt: “Can we improve onboarding retention without increasing friction?” …
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 …
AGI and the Future of Work: Apocalypse or Collaboration?
Author(s): TANVEER MUSTAFA Originally published on Towards AI. AGI and the Future of Work: Apocalypse or Collaboration? The march of artificial intelligence has reignited an age-old fear: will smart machines take our jobs? In one corner are the AGI doomers, who warn …
Why Early Commitment Helps AI Solve Structured Problems
Author(s): Reya Vir Originally published on Towards AI. Generated by Gemini Introduction Coming from a background at AWS and Apple, and now as a PhD student at Columbia, I’ve become pretty familiar with LeetCode and the standard logic of data structures and …
How Python Development Is Evolving with AI and DevOps?
Author(s): Elsie Rainee Originally published on Towards AI. How Python Development Is Evolving with AI and DevOps? Introduction: Why Python Developers Feel Overwhelmed in 2026 If you’re a Python developer, tech founder, or business owner in 2026, you’ve likely asked yourself this …
AI-Powered Real-Time Egyptian Sign Language Translator
Author(s): Ahmed Ashraf Originally published on Towards AI. Figure 1: Real-Time Egyptian Sign Language translator 1. Introduction: Breaking Communication Barriers Communication is a fundamental human right, yet millions of Deaf and Hard-of-Hearing (DHH) individuals face daily challenges around the world. In Egypt, …
Engineering Trustworthy Enterprise AI with Geometry and Physics: The Semantic Gravity Framework
Author(s): Tushit Dave Originally published on Towards AI. How to stop LLM hallucinations by treating reasoning as a particle in an energy field. Image generated by author We need to talk about the “Yes Man” problem. If you’ve built an AI agent …
Using a Neural Network for Carnatic Ragas
Author(s): Deepak Krishnamurthy Originally published on Towards AI. A classifier approach to Carnatic Raga identification One of the main sub-genres of Indian Classical music is Carnatic music. Predominantly sung in the south of India, it is one of the oldest and most …
Understanding Website Rendering in React: CSR, SSR, and SSG Explained
Author(s): Elsie Rainee Originally published on Towards AI. What Is Website Rendering: CSR, SSR, and SSG Explained Introduction: Why Does My React Website Feel Slow or Hard to Rank? You’ve built a beautiful React website. The UI looks great, and the components …
Sentiment Cluster Analysis for Movie Reviews Project
Author(s): Rashmi Originally published on Towards AI. Sentiment Cluster Analysis for Movie Reviews Project Sentiment cluster analysis combines sentiment analysis with unsupervised clustering to discover natural groupings in movie review data beyond simple positive/negative classifications. This approach reveals nuanced patterns like “enthusiastically …
LLM & AI Agent Applications with LangChain and LangGraph — Part 14: 5 Rules of Effective Prompt Engineering
Author(s): Michalzarnecki Originally published on Towards AI. Hi! This time we’ll focus on something that, in practice, often decides whether your work with large language models will be impressive… or disappointing: prompt engineering. Even the best model — and even the most …
LLM & AI Agent Applications with LangChain and LangGraph — Part 12: Reasoning, ReAct, and Agents
Author(s): Michalzarnecki Originally published on Towards AI. In this chapter we will zoom in on “reasoning” in language models. My goal is that after this article it’s clear: which models actually plan and infer better, how that differs from the ReAct approach …
Your Brain Already Does Multimodal AI. It Took Us 10 Years And 7 Breakthroughs To Copy It.
Author(s): DrSwarnenduAI Originally published on Towards AI. See cat. Hear “cat”. Read “cat”. Same concept. Here’s every innovation that made GPT-4V possible. Close your eyes. I say “cat.” mimic human sensoryThe article discusses the advancements in AI, particularly focusing on the development …
LLM & AI Agent Applications with LangChain and LangGraph — Part 13: Multimodal Models
Author(s): Michalzarnecki Originally published on Towards AI. Hi! This time we’ll tackle a topic that has become massively important in the recent time: multimodal models. A lot of “classic” language models — like GPT-3 or early versions of LLaMA — work only …
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 …
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