Why Time Matters Time is a very important part of how humans think and act. Many human activities, especially language,…
ARTIFICIAL INTELLIGENCE (30) – Deep learning (19) – Monitoring Deep Learning Models with WandB: Reconstruction and Classification on MNIST
On the article ARTIFICIAL INTELLIGENCE (29) – Deep learning (18) – Monitoring Deep Learning Models with TensorBoard: Reconstruction and Classification…
ARTIFICIAL INTELLIGENCE (29) – Deep learning (18) – Monitoring Deep Learning Models with TensorBoard: Reconstruction and Classification on MNIST
Introduction We explore how to monitor machine learning models using TensorBoard, focusing on two fundamental deep learning tasks: Image reconstruction…
ARTIFICIAL INTELLIGENCE (28) – Natural Language Processing (8) FAISS, Embeddings and Excel/PDF: A modern approach to progress payment analysis
In construction management, monthly payment to the contractor are usually a maze of raw data: Excel sheets full of measurements,…
ARTIFICIAL INTELLIGENCE (27) – Natural Language Processing (7) RAG – Building an unstructured data pipeline
This article is about building an unstructured data pipeline using RAG. A RAG (Retrieval-Augmented Generation) system works only if the…
IDEAS EMPRENDEDORAS (79) – Learning by Building in Open: From AI Stanford course CS231n to BIM Knowledge Creation
One of the most compelling aspects of Andrej Karpathy’s career is not only his technical excellence in artificial intelligence, but…
Debe estar conectado para enviar un comentario.