The Best Optimization Algorithm for Your Neural Network
Author(s): Riccardo Andreoni Originally published on Towards AI. How to choose it and minimize your neural network training time. Developing any machine learning model involves a rigorous experimental process that follows the idea-experiment-evaluation cycle. Image source: unsplash.com.The article discusses various optimization algorithms …
We’re Running Out of Data to Feed Our AI
Author(s): Ole Schildt Originally published on Towards AI. AI’s relentless scaling is about to hit the limit. We’re running out of human data and AI can’t just train itself. Have you felt it too? That subtle feeling that while AI is getting …
Part 1: Preprocessing MIMIC-IV for Readmission Prediction
Author(s): Marie Humbert-Droz, PhD Originally published on Towards AI. Kicking off a hands-on series on building explainable AI models for healthcare In my last series, we tackled a critical question: How do we detect hallucinations in large language models built for clinical …
Don’t Fine-Tune That Model Yet: What I Wish I Knew Before Starting with LLMs
Author(s): Prisca Ekhaeyemhe Originally published on Towards AI. A practical guide to choosing between prompting, RAG, and fine-tuning from someone who learned the hard way. This year, I’ve spent a lot of time learning about Large Language Models (LLMs) and building applications …
Why Andrej Karpathy Says Software 3.0 is eating 1.0 and 2.0
Author(s): MKWriteshere Originally published on Towards AI. The Tesla AI architect predicts Software 3.0 will replace most code you write today You spend hours debugging syntax errors. You wrestle with complex frameworks. You translate business requirements into thousands of lines of code. …
Why Large Language Models Are Surprisingly Easy to Hack
Author(s): MKWriteshere Originally published on Towards AI. New research shows that AI systems costing millions to build can be fooled by simple tricks that require no technical knowledge whatsoever Your AI assistant just cost you $5,000. Image Generated by Author using Gpt-4oThe …
Build Smarter RAG Systems: Make It Context Aware
Author(s): Shreyansh Jain Originally published on Towards AI. A Practical Guide to Adding Context-Aware Intelligence to Your Retrieval-Augmented Generation Models For those who don’t have a Medium Membership, can read this article for free here: LINK AI Generated ImageThis article explains how …
70+ SQL Interview Questions Every Data Scientist Should Know
Author(s): Ajit Originally published on Towards AI. 70+ SQL Interview Questions Every Data Scientist Should Know SQL is a cornerstone skill for any data scientist. In interviews, you’ll be tested on both your ability to write correct queries and your deep understanding …
Mastering LLM Fine-Tuning: GRPO, PPO, and DPO Compared
Author(s): Adi Insights and Innovations Originally published on Towards AI. Learning Outcomes Reinforcement Learning (RL) has led to major advancements in fields such as robotics, game-playing AI, and control systems by focusing on maximizing long-term rewards through sequential decision-making. In their early …
A Production Engineer’s Guide to Shipping LLMs That Work
Author(s): MKWriteshere Originally published on Towards AI. Why experienced developers delete frameworks, avoid fine-tuning, and ship faster using surprisingly simple principles Building with LLMs feels like navigating a minefield of overhyped frameworks and premature optimization. Image Source : framerusercontent.comThis article delves into …
Reinforcement Pre-Training: Teaching AI to Think Instead of Memorize
Author(s): MKWriteshere Originally published on Towards AI. Microsoft’s reasoning-first approach transforms how AI learns, making smaller models more capable than larger ones Microsoft Research has introduced Reinforcement Pre-Training (RPT), a method that transforms how language models learn. Figure 1 from Research paperThe …
How Qwen3 Embedding Beat Google at Its Own RAG Game
Author(s): MKWriteshere Originally published on Towards AI. Inside Qwen3’s Secret Recipe for State-of-Art Text Embeddings Just as DNA sequencing revolutionized biology by revealing the genetic code that connects all life, Qwen3 Embedding revolutionizes artificial intelligence by decoding the genetic structure of meaning …
Building with LLMs? Don’t Ship Without This Evaluation Guide
Author(s): Claudia Ng Originally published on Towards AI. What the GPT-4o rollback tells us about building smarter AI tools On April 28th, OpenAI quietly rolled back a ChatGPT update just three days after release. Users reported that the new update made GPT-4o …
Using Reinforcement Learning to Solve Business Problems
Author(s): Shenggang Li Originally published on Towards AI. Exploring RL Concepts and Applications Through a Customer Engagement Example As a data scientist in any industry, if you’ve spent your career building supervised learning models — predicting customer churn, segmenting users, or forecasting …
We’re Back to Square One: Why AI is Forcing Us to Reinvent Programming Languages (Again)
Author(s): MKWriteshere Originally published on Towards AI. How artificial intelligence brought us full circle to the same problems that created programming languages in the first place Imagine you’re trying to give directions to someone who speaks your language perfectly but has never …
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