With the recent explosion of interest in large language models (LLMs), they often seem almost magical. But let’s demystify them. I wanted to step back and unpack the fundamentals — breaking down how LLMs are built, trained, and fine-tuned to become the AI systems we interact with today. This two-part deep dive is something I’ve been meaning […]
The post How LLMs Work: Pre-Training to Post-Training, Neural Networks, Hallucinations, and Inference appeared first on Towards Data Science.

In the past few years, technology and AI have evolved more than ever. As I read about the new concepts in tech and learn new skills and techniques each day, I feel in a state of limbo — there is so much content to consume and yet, very little content that I could create.  In the rapidly […]
The post The Future of Data: How Decision Intelligence is Revolutionizing Data appeared first on Towards Data Science.

This is the second in a two-part series on using SQLite for machine learning. In my last article, I dove into how SQLite is rapidly becoming a production-ready database for web applications. In this article, I will discuss how to perform retrieval-augmented-generation using SQLite. If you’d like a custom web application with generative AI integration, […]
The post Retrieval Augmented Generation in SQLite appeared first on Towards Data Science.

As a Developer Advocate, it’s challenging to keep up with user forum messages and understand the big picture of what users are saying. There’s plenty of valuable content — but how can you quickly spot the key conversations? In this tutorial, I’ll show you an AI hack to perform semantic clustering simply by prompting LLMs! […]
The post Tutorial: Semantic Clustering of User Messages with LLM Prompts appeared first on Towards Data Science.

The landscape of computing is undergoing a profound transformation with the emergence of spatial computing platforms(VR and AR). As we step into this new era, the intersection of virtual reality, augmented reality, and on-device machine learning presents unprecedented opportunities for developers to create experiences that seamlessly blend digital content with the physical world. The introduction […]
The post On-Device Machine Learning in Spatial Computing appeared first on Towards Data Science.

Machine learning and AI are among the most popular topics nowadays, especially within the tech space. I am fortunate enough to work and develop with these technologies every day as a machine learning engineer! In this article, I will walk you through my journey to becoming a machine learning engineer, shedding some light and advice […]
The post How I Became A Machine Learning Engineer (No CS Degree, No Bootcamp) appeared first on Towards Data Science.

Correlation does not imply causation. It turns out, however, that with some simple ingenious tricks one can, potentially, unveil causal relationships within standard observational data, without having to resort to expensive randomised control trials. This post is targeted towards anyone making data driven decisions. The main takeaway message is that causality may be possible by […]
The post ➡️ Start Asking Your Data ‘Why?’ — A Gentle Intro To Causality appeared first on Towards Data Science.

Introduction Data science is undoubtedly one of the most fascinating fields today. Following significant breakthroughs in machine learning about a decade ago, data science has surged in popularity within the tech community. Each year, we witness increasingly powerful tools that once seemed unimaginable. Innovations such as the Transformer architecture, ChatGPT, the Retrieval-Augmented Generation (RAG) framework, and state-of-the-art computer vision models — including GANs — have […]
The post Roadmap to Becoming a Data Scientist, Part 4: Advanced Machine Learning appeared first on Towards Data Science.