ABSTRACT: This paper examines the extent to which competencies taught in Congolese universities match the skills required by the labour market. Using official curricula from the Ministry of Higher and ...

Summarization of texts have been considered as essential practice nowadays with the careful presentation of the main ideas of a text. The current study aims to provide a methodology of summarizing ...

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Objective: This study aims to present the current state of the art on clinical text summarization using large language models, evaluate the level of evidence in existing research and assess the ...

This hands-on tutorial will walk you through the entire process of working with CSV/Excel files and conducting exploratory data analysis (EDA) in Python. We’ll use a realistic e-commerce sales dataset ...

To meet the web content crawlability and indexability needs of large language models, a new standards proposal for AI/LLMs by Australian technologist Jeremy Howard is here. His proposed llms.txt acts ...

There are numerous ways to run large language models such as DeepSeek, Claude or Meta's Llama locally on your laptop, including Ollama and Modular's Max platform. But if you want to fully control the ...

Abstract: Automatic text summarization has been emerged as a valuable tool for quickly locating the significant information in vast text with minimal effort. The practice of constructing a summarized ...

Justin Pot is a freelance journalist who helps people get more out of technology. CSV, or Comma Separated Values, are files used for all kinds of things, from managing large datasets to exporting data ...

Abstract: Text summarization is gaining attention from readers who want to understand the main concept of the entire text. One of the natural language processing forms, “Named Entity Recognition” (NER ...