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? Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

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? Industrial-strength Natural Language Processing (NLP) in Python

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AI 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.

Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.

? A ranked list of awesome machine learning Python libraries. Updated weekly.

Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities