CI/CD and AI: From Theory to Practice — Series Index
Guía de navegación para la serie completa sobre CI/CD moderno con Inteligencia Artificial. Descubre qué artículos te interesan y en qué orden leerlos.
Category: Artificial intelligence
LangChain: Things I Wish I Knew Before Getting Started (Part I)
LangChain from scratch: Runnables, LCEL and PromptTemplates to build pipelines with LLMs, step by step.
Top papers that made the LLM era possible
A technical and chronological guide to the key research papers that built the era of large language models, from Transformers to modern open LLMs.
How to Generate Images of Your Face with Flux.1 for Free!
Learn how to train a LoRA on Flux.1 to generate images of your own face for free, using the replicate.com service. Step-by-step guide.
CPU vs GPU in Deep Learning: How Big Is the Difference in Training Time?
Do you know how much faster a Deep Learning model trains on a GPU than on a CPU? In this article we measure the training time difference and show you.
Political Toxicity in Tweets
Example of using a Spanish classification model on Hugging Face, built by Newtral's NLP team, that scores how much "political toxicity" a tweet generates.
How to Install TensorFlow with GPU on Windows
Want to install TensorFlow with GPU support on Windows without losing your mind? In this tutorial we show you how to install it step by step.
What Do We Need to Know to Install TensorFlow with GPU Correctly?
Installing TensorFlow and getting it to work with your GPU is easy: you just need to know what to install and which versions are compatible with each other.
Map: Learning Algorithms and Concepts of (Deep) Machine Learning
A map of the Learning Algorithms and key concepts in Machine Learning and Deep Learning, organized so you can get a clear overview of both fields.
Anonymous scraping by TOR network
In this tutorial we will explain how to configure a proxy server for scraping websites anonymously through the TOR network
Analyzing Soccer Results with Power BI
Business Intelligence turns data into information and information into knowledge for business decisions, shown with Spanish soccer results in Power BI.
Selecting the Optimal Number of Clusters
One of the problems when applying a Clustering method (K-means or EM) is choosing the number of Clusters. Learn the elbow method, dendrograms and the gap.