Tabular foundation models are the next major unlock for AI adoption, especially in industries sitting on massive databases of ...
Discover seven underrated Gemini prompts that go beyond the basics — from bookshelf analysis to stress-free trip planning and ...
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 ...
A large-scale randomized trial of texting therapy concluded that its outcomes were as good as video sessions in treating depression. By Ellen Barry One of the most popular mental health innovations of ...
On October 8, 2025, Oracle announced the expansion of its Select AI capabilities to include AI translation and summarization directly inside its Autonomous Database — a move that turns language ...
Abstract: This paper studies how modern text summarization methods can be used for the Sinhala language. It uses techniques like Fuzzy Clustering, Text Ranking, and Term Frequency-Inverse Document ...
Unlock automatic understanding of text data! Join our hands-on workshop to explore how Python—and spaCy in particular—helps you process, annotate, and analyze text. This workshop is ideal for data ...
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LangExtract lets users define custom extraction tasks using natural language instructions and high-quality “few-shot” examples. This empowers developers and analysts to specify exactly which entities, ...
Introduction: Text summarization is a longstanding challenge in natural language processing, with recent advancements driven by the adoption of Large Language Models (LLMs) and Small Language Models ...
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