Remove Artificial Intelligence Remove ML Remove Natural Language Processing
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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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Meet OLMo (Open Language Model): A New Artificial Intelligence Framework for Promoting Transparency in the Field of Natural Language Processing (NLP)

Marktechpost

With the rising complexity and capability of Artificial Intelligence (AI), its latest innovation, i.e., the Large Language Models (LLMs), has demonstrated great advances in tasks, including text generation, language translation, text summarization, and code completion. If you like our work, you will love our newsletter.

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A Survey of RAG and RAU: Advancing Natural Language Processing with Retrieval-Augmented Language Models

Marktechpost

Natural Language Processing (NLP) is integral to artificial intelligence, enabling seamless communication between humans and computers. This interdisciplinary field incorporates linguistics, computer science, and mathematics, facilitating automatic translation, text categorization, and sentiment analysis.

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Artificial intelligence and a new era of human resources

IBM Journey to AI blog

Artificial intelligence (AI) can help usher in a new era of human resource management, where data analytics, machine learning and automation can work together to save people time and support higher-quality outcomes. Cybersecurity: AI is susceptible to hacking, especially during the training pipeline where ML algorithms are created.

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Breaking down the advantages and disadvantages of artificial intelligence

IBM Journey to AI blog

Artificial intelligence (AI) refers to the convergent fields of computer and data science focused on building machines with human intelligence to perform tasks that would previously have required a human being. For example, learning, reasoning, problem-solving, perception, language understanding and more.

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PRISE: A Unique Machine Learning Method for Learning Multitask Temporal Action Abstractions Using Natural Language Processing (NLP)

Marktechpost

Large language models’ (LLMs) training pipelines are the source of inspiration for this method in the field of natural language processing (NLP). Tokenizing input is a crucial part of LLM training, and it’s commonly accomplished using byte pair encoding (BPE). Check out the Paper and Project.

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Cartesia AI Released Rene: A Groundbreaking 1.3B Parameter Open-Source Small Language Model Transforming Natural Language Processing Applications

Marktechpost

This open-source model, built upon a hybrid architecture combining Mamba-2’s feedforward and sliding window attention layers, is a milestone development in natural language processing (NLP). Parameter Open-Source Small Language Model Transforming Natural Language Processing Applications appeared first on MarkTechPost.