How to Use an LLM-Powered Boilerplate for Building Your Own Node.js API
For a long time, one of the common ways to start new Node.js projects was using boilerplate templates. These templates help developers reuse familiar code structures and implement standard features, such as access to cloud file storage. With the latest developments in LLM, project boilerplates appear to be more useful than ever. Building on this […]
Unraveling Spatially Variable Genes: A Statistical Perspective on Spatial Transcriptomics
The article was written by Guanao Yan, Ph.D. student of Statistics and Data Science at UCLA. Guanao is the first author of the Nature Communications review article [1]. Spatially resolved transcriptomics (SRT) is revolutionizing Genomics by enabling the high-throughput measurement of gene expression while preserving spatial context. Unlike single-cell RNA sequencing (scRNA-seq), which captures transcriptomes […]
AI Agents from Zero to Hero – Part 1
Intro AI Agents are autonomous programs that perform tasks, make decisions, and communicate with others. Normally, they use a set of tools to help complete tasks. In GenAI applications, these Agents process sequential reasoning and can use external tools (like web searches or database queries) when the LLM knowledge isn’t enough. Unlike a basic chatbot, […]
Formulation of Feature Circuits with Sparse Autoencoders in LLM
Large Language models (LLMs) have witnessed impressive progress and these large models can do a variety of tasks, from generating human-like text to answering questions. However, understanding how these models work still remains challenging, especially due a phenomenon called superposition where features are mixed into one neuron, making it very difficult to extract human understandable […]
Why Data Scientists Should Care about Containers — and Stand Out with This Knowledge
“I train models, analyze data and create dashboards — why should I care about Containers?” Many people who are new to the world of data science ask themselves this question. But imagine you have trained a model that runs perfectly on your laptop. However, error messages keep popping up in the cloud when others access […]
Multimodal Search Engine Agents Powered by BLIP-2 and Gemini
This post was co-authored with Rafael Guedes. Introduction Traditional models can only process a single type of data, such as text, images, or tabular data. Multimodality is a trending concept in the AI research community, referring to a model’s ability to learn from multiple types of data simultaneously. This new technology (not really new, but […]
How LLMs Work: Pre-Training to Post-Training, Neural Networks, Hallucinations, and Inference
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 […]
Data Scientist: From School to Work, Part I
Nowadays, data science projects do not end with the proof of concept; every project has the goal of being used in production. It is important, therefore, to deliver high-quality code. I have been working as a data scientist for more than ten years and I have noticed that juniors usually have a weak level in […]
Honestly Uncertain | Towards Data Science
Ethical issues aside, should you be honest when asked how certain you are about some belief? Of course, it depends. In this blog post, you’ll learn on what. A probabilistic quiz game David Spiegelhalter’s new (as of 2025) fantastic book, “The Art of Uncertainty” – a must-read for everyone who deals with probabilities and their communication […]
Learning How to Play Atari Games Through Deep Neural Networks
In July 1959, Arthur Samuel developed one of the first agents to play the game of checkers. What constitutes an agent that plays checkers can be best described in Samuel’s own words, “…a computer [that] can be programmed so that it will learn to play a better game of checkers than can be played by […]