Category: Natural Language Processing
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RAG with Hybrid Search: How Does Keyword Search Work?
RAG with Hybrid Search: How Does Keyword Search Work? Understanding keyword search, TF-IDF, and BM25 The post RAG with Hybrid Search: How Does Keyword Search Work? appeared first on Towards Data Science. Maria Mouschoutzi Go to original source
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Evaluating Multi-Step LLM-Generated Content: Why Customer Journeys Require Structural Metrics
Evaluating Multi-Step LLM-Generated Content: Why Customer Journeys Require Structural Metrics How to evaluate goal-oriented content designed to build engagement and deliver business results, and why structure matters. The post Evaluating Multi-Step LLM-Generated Content: Why Customer Journeys Require Structural Metrics appeared first on Towards Data Science. Diana Schneider Go to original source
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GliNER2: Extracting Structured Information from Text
GliNER2: Extracting Structured Information from Text From unstructured text to structured Knowledge Graphs The post GliNER2: Extracting Structured Information from Text appeared first on Towards Data Science. Tomaz Bratanic Go to original source
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LLM-as-a-Judge: What It Is, Why It Works, and How to Use It to Evaluate AI Models
LLM-as-a-Judge: What It Is, Why It Works, and How to Use It to Evaluate AI Models A step-by-step guide to building AI quality control using large language models The post LLM-as-a-Judge: What It Is, Why It Works, and How to Use It to Evaluate AI Models appeared first on Towards Data Science. Piero Paialunga Go…
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What Makes a Language Look Like Itself?
What Makes a Language Look Like Itself? How simple statistics reveal the visual fingerprints of 20 languages The post What Makes a Language Look Like Itself? appeared first on Towards Data Science. Kenneth McCarthy Go to original source
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Docling: The Document Alchemist
Docling: The Document Alchemist Why do we still wrestle with documents in 2025? Spend some time in any data-driven organisation, and you’ll encounter a host of PDFs, Word files, PowerPoints, half-scanned images, handwritten notes, and the occasional surprise CSV lurking in a SharePoint folder. Business and data analysts waste hours converting, splitting, and cajoling those formats…
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Mastering NLP with spaCy – Part 2
Mastering NLP with spaCy – Part 2 POS tagging, dependency parser and named entity recognition. The post Mastering NLP with spaCy – Part 2 appeared first on Towards Data Science. Marcello Politi Go to original source
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Mastering NLP with spaCY — Part 1
Mastering NLP with spaCY — Part 1 Learn about tokenization, lemmatization and the core operations. The post Mastering NLP with spaCY — Part 1 appeared first on Towards Data Science. Marcello Politi Go to original source