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 …
K-Means Clustering — What Every Data Scientist Should Know
Author(s): Aamir Raja Originally published on Towards AI. Discussing and simplifying intricacies of K-means clustering for machine learning. Photo by Igor Omilaev on Unsplash K-means clustering. What exactly is this? It’s an extremely useful machine learning model that creates clusters in order …
No Libraries, No Shortcuts: LLM from Scratch with PyTorch
Author(s): Ashish Abraham Originally published on Towards AI. The no BS guide to build, train, and fine-tune a Transformer architecture from scratch OpenAI has recently launched its highly anticipated open-source GPT-OSS models, a moment that invites a minute of reflection on just …
Universal Deep Research: Beyond Search Engines
Author(s): Piyoosh Rai Originally published on Towards AI. The fundamental difference: Search engines retrieve documents linearly, while deep research systems orchestrate specialized agents across multiple sources, synthesizing evidence and validating findings through interconnected intelligence networks. Why your AI research assistant is just …
Multilingual Text Detection with FastText and Hugging Face: A Beginner’s Guide (Part 1)
Author(s): Gift Ojeabulu Originally published on Towards AI. Image by author Introduction Language detection is one of the first and most crucial steps in any multilingual Natural Language Processing (NLP) pipeline. Before you can translate text, classify it, or feed it into …
Why Does Hypothesis Testing Matter in Machine Learning?
Author(s): Nikhil Dasari Originally published on Towards AI. Understanding the Role of Hypothesis Testing in Machine Learning. When I first started learning Machine Learning, I was confused about how hypothesis testing is used. Many of you may have had this same doubt …
Small Language Models Are the Future of Agentic AI: Here’s Why
Author(s): MKWriteshere Originally published on Towards AI. Why specialized SLMs under 10B parameters are replacing 175B LLMs in production AI agents — with 30x cost savings, better performance, and a proven migration roadmap. If you’re running AI agents in production, you’re probably …
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