Abstract Recurrent Neural Networks (RNNs) are widely used for modeling sequential data. However, simple (vanilla) RNNs suffer from well-known training … Más
Categoría: ARTIFICIAL INTELLIGENCE AI
ARTIFICIAL INTELLIGENCE (31) – Natural Language Processing (9) Understanding Time in the Human Mind
Why Time Matters Time is a very important part of how humans think and act. Many human activities, especially language, … Más
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 … Más
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 … Más
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, … Más
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 … Más
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