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Practical guides to AI, Python, Git, SQL, Web/API, SAP/ERP and mathematical models, with explanations, code examples, sources and limitations.

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Understanding Semantic Search: How it Works and Why Similar Text Might Not Answer Your Question

Explore the principles of semantic search, its reliance on embeddings, and the reasons why text that appears similar might not provide the desired answer. Learn about vector search, hybrid search, and their applications in information retrieval.

semantic search / vector search / embeddings / AI / information retrieval / natural language processing / hybrid search / Azure AI Search

AI Precision and Recall Evaluation on Small Datasets

Learn how to effectively evaluate the precision and recall of AI models, especially when working with small question datasets. This guide covers the concepts, calculation methods, and practical considerations using scikit-learn.

ai / precision / recall / evaluation / small dataset / machine learning / scikit-learn / classification