In today’s world of AI and machine learning, turning raw text into something computers can truly “understand” is becoming essential — especially when working with large documents like PDFs. If you’ve ever wished you could search your PDFs for ideas a...
Have you ever uploaded code on your ESP32 that compiled successfully, but later you realized you mentioned the wrong HTTP server URL or defined the wrong pin for the LED? I can’t say about you, but it has definitely happened with me — and it’s frustr...
Introduction We recently built a cell-typer model based on a subset of the CellXGene V2 dataset. This model is a stepping stone towards a “universal” cell-typer model that will allow us to annotate cell types (and other properties) based on single ce...
Introduction: What Are Embeddings? In natural language processing (NLP) and deep learning, embeddings refer to a technique used to transform discrete, symbolic data—such as words, characters, or even entire sentences—into continuous, dense vectors in...
Em um mundo onde a informação cresce exponencialmente, a capacidade de extrair conhecimento relevante de documentos de forma intuitiva tornou-se uma necessidade crítica. Imagine poder conversar naturalmente com seus documentos, fazer perguntas por vo...
1. Abstract Retrieval-Augmented Generation (RAG) represents a transformative approach in artificial intelligence that combines the power of large language models with the precision of information retrieval systems. This presentation explores how RAG ...
Hi everyone — especially those who’ve been eagerly waiting for my series, and particularly all the JavaScript developers out there. How’s your day going in this booming age of AI? 🚀 AI is growing at an incredible pace. Haven’t started yet? Feeling o...
As global industrial operations become increasingly complex and interconnected, ensuring factory integrity is paramount. This encompasses not only the physical integrity of operations but also adherence to regulatory, ethical, environmental, and safe...
Introduction Have you ever used ChatGPT and thought, “How does it know exactly what I want?” It almost feels like it’s using a Sharingan — like Sasuke — reading your thoughts before you say them. But here’s the truth: there’s no magic involved. Just ...
Combining knowledge graphs with vector embeddings creates an extremely powerful information retrieval and reasoning system. Let's explore why this combination is so effective, how to implement it, and how to leverage both technologies to build brilli...
