The ML Algorithm Selector: When to Use Which Machine Learning Algorithm
Author(s): Rohan Mistry Originally published on Towards AI. You Know How Every Algorithm Works. But You Have No Idea Which One to Actually Use. You aced your ML course. You know Random Forest, XGBoost, SVM, Neural Networks. Source: Image by Author.This article …
LLMs Don’t Think. They Just Get Lucky.
Author(s): Devrim Ozcay Originally published on Towards AI. LLMs Don’t Think. They Just Get Lucky. I spent six months feeding GPT-4 the same prompt 10,000 times and got 10,000 different answers. Not slightly different. Completely different. Same temperature. Same parameters. Same everything. …
Unboxing AI: The Data Science of True Model Interpretability
Author(s): The Bot Group Originally published on Towards AI. Unboxing AI: The Data Science of True Model Interpretability For years, the promise of artificial intelligence has been shadowed by a fundamental problem: the black box. We build powerful models that achieve incredible …
AI Meets Personal Finance: Building a Smart Expense Analyzer with LangGraph
Author(s): Vikram Bhat Originally published on Towards AI. Introduction Managing personal finances shouldn’t feel like a second job. Yet most people struggle with basic questions: Where is my money actually going? Am I paying for subscriptions I forgot about? Why was this …
Benchmarking LLMs for PhD-Level Science Problems
Author(s): Nicholas Poon Originally published on Towards AI. Curie A ground-breaking benchmark by Google, Harvard, Cornell University, NIST, and other institutions. As always, read this article for free here if you’re not a member.The article discusses the Curie benchmarking framework, which aims …
How Hypothesis Testing is Actually Used in Machine Learning
Author(s): Nikhil Dasari Originally published on Towards AI. A simple walkthrough of how and where we use hypothesis testing in real ML workflows. When I first started learning Machine Learning, I was confused about how hypothesis testing is used. Many of you …
Beyond Basic RAG: A Practical Guide to Advanced Indexing Techniques
Author(s): Saif Ali Kheraj Originally published on Towards AI. https://en.wikipedia.org/wiki/Retrieval-augmented_generation#/media/File:RAG_diagram.svg Retrieval Augmented Generation (RAG) has become the go to approach for building AI systems that can access and reason over large document collections. But here is the reality most developers face: basic …
The Danger of High (or Small) Numbers In Your Computer And ML Models
Author(s): Nelson Cruz Originally published on Towards AI. During day-to-day programming or general computer use, it’s common to overlook how the computer handles numbers in its definition. But this easily becomes a problem when we try to optimize a solution and even …
I Built an AI Newsletter Generator That Writes Itself — Using Ollama’s New Web Tools
Author(s): Taha Azizi Originally published on Towards AI. How I automated weekly AI research, curation, and reporting with a few hundred lines of code I used to spend hours every week reading TechCrunch, The Verge, and LinkedIn posts just to stay current …
Can Local AI Keep Up with the Cloud? I Tested 8 Models on Clinical Data
Author(s): Marie Humbert-Droz, PhD Originally published on Towards AI. I ran OpenAI, Anthropic, and local models head-to-head on clinical note extraction. Here’s what I found. After setting up my local clinical abstraction agent and testing its ability to call tools, I wanted …
I Ran an AI Model on my CPU, and It’s the Future. Here’s Why.
Author(s): Himanshu Soni Originally published on Towards AI. Subtitle For years, the world of artificial intelligence has been dominated by one expensive truth: if you want to run powerful AI models, you need a GPU a big, power-hungry, and incredibly costly GPU. …
“Smart Hiring with GenAI: Evaluating Leadership and Cultural Fit”
Author(s): Alok Lamech Originally published on Towards AI. Smart Hiring with GenAI: Evaluating Leadership and Cultural Fit “Imagine a panel interviewing a candidate for a senior product role. The candidate shares a story about resolving team conflict. Using the GenAI tool, the …
Building Smarter Systems with AI Tools I Wish I Had Years Ago
Author(s): Code with Margaret Originally published on Towards AI. How I learned to go beyond toy models and automate real-world solutions with modern AI When I started with AI, I thought the magic was in the models. Train a neural net, tweak …
6 Next-Gen Python Libraries Redefining Coding in 2025
Author(s): Rachit Originally published on Towards AI. 6 Next-Gen Python Libraries Redefining Coding in 2025 If you’ve used Pandas, you know how easy it makes data analysis — until your dataset grows and your CPU starts gasping for air. The article explores …
How AI Models Can Share Hidden Thoughts, Not Just Final Answers
Author(s): MKWriteshere Originally published on Towards AI. Mixture of Thoughts enables language models to collaborate through latent-space integration, achieving 10% gains over single-model baselines without multi-turn overhead Specialized AI models excel at different tasks. Some crush math problems. Others write clean code …
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