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20 GitHub Repositories to Master Natural Language Processing (NLP)

Marktechpost

Natural Language Processing (NLP) is a rapidly growing field that deals with the interaction between computers and human language. Transformers is a state-of-the-art library developed by Hugging Face that provides pre-trained models and tools for a wide range of natural language processing (NLP) tasks.

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Combining the Best of Both Worlds: Retrieval-Augmented Generation for Knowledge-Intensive Natural Language Processing

Marktechpost

Knowledge-intensive Natural Language Processing (NLP) involves tasks requiring deep understanding and manipulation of extensive factual information. Researchers from Facebook AI Research, University College London, and New York University introduced Retrieval-Augmented Generation (RAG) models to address these limitations.

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Meta AI Researchers Introduce GenBench: A Revolutionary Framework for Advancing Generalization in Natural Language Processing

Marktechpost

A model’s capacity to generalize or effectively apply its learned knowledge to new contexts is essential to the ongoing success of Natural Language Processing (NLP). Having the taxonomy in place makes it easier to get good generalizations, which further fosters the growth of Natural Language Processing.

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Can AI Really Understand Sarcasm? This Paper from NYU Explores Advanced Models in Natural Language Processing

Marktechpost

Natural Language Processing (NLP) is useful in many fields, bringing about transformative communication, information processing, and decision-making changes. All credit for this research goes to the researchers of this project. The post Can AI Really Understand Sarcasm?

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Rethinking Reproducibility As the New Frontier in AI Research

Unite.AI

In particular, the instances of irreproducible findings, such as in a review of 62 studies diagnosing COVID-19 with AI , emphasize the necessity to reevaluate practices and highlight the significance of transparency. Multiple factors contribute to the reproducibility crisis in AI research.

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LLMOps: The Next Frontier for Machine Learning Operations

Unite.AI

Machine learning (ML) is a powerful technology that can solve complex problems and deliver customer value. However, ML models are challenging to develop and deploy. This is why Machine Learning Operations (MLOps) has emerged as a paradigm to offer scalable and measurable values to Artificial Intelligence (AI) driven businesses.

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Google AI Researchers Introduce MADLAD-400: A 2.8T Token Web-Domain Dataset that Covers 419 Languages

Marktechpost

In the ever-evolving field of Natural Language Processing (NLP), the development of machine translation and language models has been primarily driven by the availability of vast training datasets in languages like English. All Credit For This Research Goes To the Researchers on This Project.