4d ago · 9 min read · Hey there. Let me guess what you've been doing. You copy something from a website. Maybe a product description. Maybe an article you're quoting. Maybe some code from Stack Overflow. And then... the ni
Join discussionMar 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...
Join discussionMar 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...
Join discussionMar 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...
Join discussionMar 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...
Join discussionMar 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-...
Join discussionMar 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...
Join discussionMar 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...
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