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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, Deep learning, Natural Language Processing

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, Deep learning, Natural Language Processing

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…

ARTIFICIAL INTELLIGENCE, Deep learning, Natural Language Processing

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…

ARTIFICIAL INTELLIGENCE (26) – Natural Language Processing (6) PDFs as inputs

PDFs are a particularly challenging source for NLP because they are not designed as structured, machine-friendly data formats. A PDF…

ARTIFICIAL INTELLIGENCE, Deep learning, Natural Language Processing

ARTIFICIAL INTELLIGENCE (25) – Natural Language Processing (5) Fundamentals

Natural Languages are languages used by humans. The aim of Natural Language Processing is to talk to computers in Natural…

ARTIFICIAL INTELLIGENCE, Natural Language Processing, NLP

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Le BIM et la réalité virtuelle
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  • ARTIFICIAL INTELLIGENCE (29) – Deep learning (18) – Monitoring Deep Learning Models with TensorBoard: Reconstruction and Classification on MNIST 04/04/2026
  • ARTIFICIAL INTELLIGENCE (28) – Natural Language Processing (8) FAISS, Embeddings and Excel/PDF: A modern approach to progress payment analysis 04/01/2026
  • ARTIFICIAL INTELLIGENCE (27) – Natural Language Processing (7) RAG – Building an unstructured data pipeline 03/31/2026

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