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Automated systems for assigning labels to unstructured text inputs.
Distinguishing note: Focuses on classification tasks, distinct from broader text analysis.
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This repository serves as a comprehensive library of architectural blueprints and code examples for integrating large language models into software applications. It functions as a developer learning resource, providing structured tutorials and implementation patterns that demonstrate how to build intelligent features using advanced prompting and data processing techniques. The collection distinguishes itself by focusing on complex reasoning and data-grounding workflows. It provides practical guidance on implementing retrieval-augmented generation pipelines, which connect language models to pr
Automates the categorization of unstructured text into predefined labels.