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Natural language processing

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Natural language processing (NLP) is a field of computer science that studies how computers and humans interact. In the 1950s, Alan Turing published an article that proposed a measure of intelligence, now called the Turing test. More modern techniques, such as deep learning, have produced results in the fields of language modeling, parsing, and natural-language tasks.

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luisrodriguesphd / resume-worth

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This repository offers the ResumeWorth app, aimed at helping individuals find their true market value through AI-powered analysis of their resumes. It combines advanced AI with market data to provide personalized salary ranges, job matches, and resume-job match explanation, ensuring users can optimize their earnings potential.

nlp resume information-retrieval semantic-search keyword-search large-language-models retrieval-augmented-generation
  • Updated May 10, 2024
  • Jupyter Notebook
haystack

deepset-ai / haystack

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🔍 LLM orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or conversational agent chatbots.

python nlp machine-learning information-retrieval ai transformers pytorch question-answering summarization language-model semantic-search squad bert gpt-3 large-language-models generative-ai chatgpt
  • Updated May 10, 2024
  • Python

sbornaz / AI_Projects

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Series of projects aimed at enhancing practical applications of Artificial Intelligence (AI) from 2022 to 2023. The focus is on practical applications, technology integration, and innovation.

nlp data-science machine-learning natural-language-processing computer-vision deep-learning jupyter azure tensorflow bot-framework artificial-intelligence object-detection data-augmentation cloud-services python-projects ethical-ai ai-ml ml-models ai-models cloud-services-bot-framework
  • Updated May 10, 2024
  • Jupyter Notebook
sparseml

neuralmagic / sparseml

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Libraries for applying sparsification recipes to neural networks with a few lines of code, enabling faster and smaller models

nlp sparsity tensorflow keras pytorch deep-learning-algorithms image-classification deep-learning-library pruning object-detection transfer-learning automl computer-vision-algorithms onnx deep-learning-models sparsification pruning-algorithms smaller-models sparsification-recipes
  • Updated May 10, 2024
  • Python

Created by Alan Turing

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