This article is about building an unstructured data pipeline using RAG. A RAG (Retrieval-Augmented Generation) system works only if the … Más
Etiqueta: Deep learning
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 … Más
ARTIFICIAL INTELLIGENCE (24) – Deep learning (17) Building a Deep Learning APP
1. Objective The goal is to build a complete Deep Learning application, including: -Training a sentiment analysis model. -Saving the … Más
ARTIFICIAL INTELLIGENCE (22) – Natural Language Processing (3) Text Representations in NLP (2) Count vectorizer
A Count Vectorizer is a way for a computer to understand a sentence by counting words instead of looking at … Más
ARTIFICIAL INTELLIGENCE (21) – Natural Language Processing (3) Text Representations in NLP (1) One-hot encoding
We are going to explore the inputs representations in the process of transforming a text corpus into different input formats … Más
ARTIFICIAL INTELLIGENCE (20) – Natura Language Processing (2) Embeding Lab
I think the best way to start talking about embeddings is to propose a Lab about it. In the next … Más
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