Natural language processing
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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Easy-to-use and high-performance NLP and LLM framework based on MindSpore, compatible with models and datasets of 🤗Huggingface.
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Annotations of the interesting ML papers I read
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OpenVINO™ is an open-source toolkit for optimizing and deploying AI inference
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🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
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DELPH-IN Documentation
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An open source NLP library based on MindSpore
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With Nomad Work, discover and evaluate the best workplaces and make your choice with artificial intelligence-supported ratings. Liberate your work style!
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Large Language Model Text Generation Inference
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Text analytics for LLM apps. PostHog for prompts. Extract evaluations, intents and events from text messages. phospho leverages LLM (OpenAI, MistralAI, Ollama, etc.)
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We have chosen a fashion dataset for our system. We've created a clothing recommendation system using data mining and content-based filtering concepts. Customers can input a cloth ID and receive details on the top 5 related clothing items.
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Statistical Machine Intelligence & Learning Engine
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ML engineering at Production. MLops | NLP | LLM | Agents | Big Data | Computer Vision | RAG | Research Papers
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Apache OpenNLP
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Efficient Retrieval Augmentation and Generation Framework
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Efficient, consistent and secure library for querying structured data with natural language
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Created by Alan Turing
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