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Research is the systematic investigation into and study of materials, sources, or phenomena to establish facts, generate new knowledge, or solve problems. Employing a variety of methodologies, which can be qualitative, quantitative, or a mix of both, research seeks to answer specific questions or test hypotheses. It spans across multiple disciplines, including the sciences, social sciences, humanities, and arts, each with its own set of techniques and ethical considerations. Research can be broadly categorized into basic research, which aims to expand the fundamental understanding of underlying principles, and applied research, which focuses on solving practical problems. The process often involves data collection, analysis, and interpretation, followed by the dissemination of findings, typically through scholarly articles, reports, or presentations. Whether conducted by individuals, academic institutions, or professional organizations, research contributes to academic advancement, informs policy, drives innovation, and serves as a foundation for future studies. As such, it is an indispensable component of intellectual inquiry and societal progress.
Published: July 18, 2023, 2:30 p.m.
Welcome to "The Mind of the Machine: Unpacking Neural Network Language Models." This blog post aims to serve as a comprehensive guide to the intricate and fascinating world of … Read More
Published: July 19, 2023, 6 p.m.
Welcome to the fascinating world of neural networks. These computational models have revolutionized various fields, from natural language processing to computer vision. Inspired by the human brain, neural networks … Read More
Published: July 28, 2023, 6:37 p.m.
You're here because you've heard terms like 'attention mechanisms' and 'Transformer architectures' thrown around in discussions about machine learning. These aren't just buzzwords; they're the gears and cogs that … Read More
Published: Sept. 2, 2023, 6:19 a.m.
Welcome. If you're here, it's likely because you've heard the term 'generative modeling' thrown around in discussions about machine learning. It's a term that carries weight. This post is … Read More
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