Large Language Models (LLMs) are powerful, but they come with an important limitation: they only know what was included during training. They cannot natively reason over private documents, internal knowledge bases, or freshly updated content.This is wh…
Large Language Models (LLMs) are powerful, but they have a fundamental limitation: they lack real-time awareness. Their responses are constrained by training data cutoffs, which makes them unsuitable for use cases that require up-to-date information.To…
Un Keynote en Las Vegas que Cambió el Juego 🎲
Era el 2 de diciembre de 2025, segundo día de AWS re:Invent en Las Vegas. Matt Garman, CEO de AWS, acababa de anunciar en el keynote principal una de las capacidades más esperadas para agentes de IA: Amazo…
General information
Pages: 414
Published by: Packt
Release date: October 2025
Disclaimer: I received this book as part of a collaboration with Packt
TL;DR
Essentially, this is a book that uses a "problem-reasoning-solution" approach to…
Modern applications rely on multiple external systems — relational databases, messaging services, cloud APIs, and more. Unit tests alone can’t reliably validate these integrations.
Testcontainers has become the de-facto solution for running light…