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Large Language Model

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A large language model (LLM) is a type of machine learning model designed for understanding, generating, and interacting with human language. These models are trained on extensive datasets containing text from books, articles, websites, and other sources to learn patterns, context, and semantics in language. LLMs are widely used in applications like chatbots, code generation, translation, summarization, and more. They are often built using transformer architectures and are central to the field of generative AI.

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Unstructured-IO / unstructured

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Convert documents to structured data effortlessly. Unstructured is open-source ETL solution for transforming complex documents into clean, structured formats for language models. Visit our website to learn more about our enterprise grade Platform product for production grade workflows, partitioning, enrichments, chunking and embedding.

nlp pdf machine-learning natural-language-processing information-retrieval ocr deep-learning ml docx preprocessing pdf-to-text data-pipelines donut document-image-processing document-parser pdf-to-json document-image-analysis llm document-parsing langchain
  • Updated Jun 24, 2026
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artificial-intelligence generative-ai machine-learning natural-language-processing transformers