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10 - Monitoring NLP: Detecting Drift and Scheduling Retraining

Mar 20 · 1 min read · Complete guide to Monitoring NLP: Detecting Drift and Scheduling Retraining: architecture, practical implementation and best practices for developers and technical teams. What you'll learn Types of Drift in NLP Models Structured Prediction Loggi...

09 - Semantic Similarity: Measuring Text Relevance

Mar 20 · 1 min read · Complete guide to Semantic Similarity: Measuring Text Relevance: architecture, practical implementation and best practices for developers and technical teams. What you'll learn Use SBERT instead of standard BERT for semantic similarity (Pearson 0.87...

07 - HuggingFace Transformers: Models, Datasets, Training

Mar 20 · 1 min read · Complete guide to HuggingFace Transformers: Models, Datasets, Training: architecture, practical implementation and best practices for developers and technical teams. What you'll learn Use AutoClass to load any architecture with the same code The Pip...

06 - Text Classification: Single and Multi-label Approaches

Mar 20 · 1 min read · Complete guide to Text Classification: Single and Multi-label Approaches: architecture, practical implementation and best practices for developers and technical teams. What you'll learn Text Classification Taxonomy Multi-class Classification wit...

05 - Named Entity Recognition: Extracting Information from Text

Mar 20 · 1 min read · Complete guide to Named Entity Recognition: Extracting Information from Text: architecture, practical implementation and best practices for developers and technical teams. What you'll learn 1.1 The BIO Format 1.2 NER Benchmarks and Datasets 2.1 Out-...

04 - Italian Sentiment Analysis: BERT Models and Challenges

Mar 20 · 1 min read · Complete guide to Italian Sentiment Analysis: BERT Models and Challenges: architecture, practical implementation and best practices for developers and technical teams. What you'll learn Use feel-it as a starting point for Italian sentiment and emoti...

03 - Sentiment Analysis: Building and Deploying Classifiers

Mar 20 · 1 min read · Complete guide to Sentiment Analysis: Building and Deploying Classifiers: architecture, practical implementation and best practices for developers and technical teams. What you'll learn Choose the approach based on requirements: VADER for speed, BER...

02 - BERT Explained: Architecture, Pretraining and Fine-tuning

Mar 20 · 1 min read · Complete guide to BERT Explained: Architecture, Pretraining and Fine-tuning: architecture, practical implementation and best practices for developers and technical teams. What you'll learn 1.1 The Limits of Word2Vec and GloVe 1.2 ELMo: The First Ste...

01 - NLP Fundamentals: Tokenization, Embeddings and Transformers

Mar 20 · 1 min read · Complete guide to NLP Fundamentals: Tokenization, Embeddings and Transformers: architecture, practical implementation and best practices for developers and technical teams. What you'll learn 1.1 Lowercasing and Normalization 1.2 Stopwords: Words Wit...

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Summarize Text with AI: A Practical Guide

Mar 9 · 6 min read · Long content is everywhere. Articles run thousands of words. Customer emails ramble across paragraphs. Research papers span dozens of pages. Support tickets contain three complaints, two tangents, and buried somewhere in the middle, the actual proble...