I’ve been thinking about it for a while, but now I’m seriously considering it: building a truly powerful computer, specifically designed to run artificial intelligence models locally. This is not a decision I take lightly, because it comes with a high cost, both economically and in terms of time. But my motivation is clear: I…
Category
I.A
Vibe coding: the immediate future of application development
Introduction These days, YouTube is like a runway full of code gurus showing how to program without touching the keyboard. Everyone’s talking about vibe coding—this way of developing where you set the context, get comfortable, and the AI writes the code for you. Sure, that is—if you’re lucky and it doesn’t spin up a thirty‑file…
Exploring the Boundaries of Current LLMs and the New GPT-o1
Introduction Since after the summer holidays, I have been implementing chatbots based on LLMs (Large Language Models) in SMEs professionally. I’ve just started, so for now, they are quite simple (they respond with company information, book appointments, find information in corporate documentation…), but it’s a starting point. The fact is that it hasn’t taken long…
A.I answering questions from your own documents (RAG method)
Introduction I’m continuing my tests with the GPT Plus account, and this time I wanted to understand in more detail the process followed by an AI model to answer questions related to documentation we provide and understand the complexity/challenges it entails. In recent months, a very effective method called RAG (Retrieval-Augmented Generation) has become popular,…
Creating a Personalized ChatGPT (GPT Agent)
Introduction Since the release of version 4 of ChatGPT, if you have a ChatGPT Plus account (the subscription costs around €20 per month), you can create your own agent, which is nothing more than an instance of ChatGPT that you configure/train to perform one or more tasks better than the “general” ChatGPT. This feature is…