The yearlong ProPublica Investigative Editor Training Program aims to broaden the ranks of investigative editors.
Recent advancements in large language models (LLMs) and social robots have introduced new possibilities for enhancing VP interactivity and realism. However, their application in VP simulations has ...
When we hear gambus, we know it's Johor's music. It's an icon, a symbol of our cultural identity,' says Zaidan Attan.
Indian students planning to study abroad can find out which essential exams they need to take. This guide covers the various tests required for international education opportunities.
Discover how students can study abroad without IELTS. Learn about countries, universities, alternative English proficiency tests, MOI certificates, and programs that allow admission without IELTS ...
Abstract: Recently, there exists an increased research interest in embodied artificial intelligence (EAI), which involves an agent learning to perform a specific task when dynamically interacting with ...
Similarly, high-quality datasets underpin the development and performance of large language models (LLMs). Among these, instruction-tuning datasets (ITDs) used for instruction fine-tuning have been ...
Astros pitcher AJ Blubaugh was one of the first to greet new teammate Tatsuya Imai in the early days of camp last week. Imai, a star pitcher from Japan who signed a three-year deal in January, has ...
Abstract: This paper studies the problem of pre-training for small models, which is essential for many mobile devices. Current state-of-the-art methods on this problem transfer the representational ...
For Elizabeth Bryant, a Takelma language program leader for the Cow Creek Band of Umpqua Tribe of Indians, the answer lies in years of dedication, advocacy and community-driven teaching. Takelma, the ...
Natural Language to SQL (NL2SQL) enables intuitive interactions with databases by transforming natural language queries into structured SQL statements. Despite recent advancements in enhancing ...
ArcticTraining is a framework designed to simplify and accelerate the post-training process for large language models (LLMs). It addresses challenges in current frameworks, such as limited support for ...
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