Perspectives
Latest writing
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Exploring Generative Adversarial Networks (GANs) - The Power of Unsupervised Deep Learning
Generative Adversarial Networks, commonly known as GANs, have revolutionized the field of unsupervised deep learning since their invention by Ian Goodfellow and his colleagues in 2014. Described by Yann LeCun as "the most…
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The Augmented Dickey—Fuller (ADF) Test for Stationarity
Stationarity is a fundamental concept in statistical analysis and machine learning, particularly when dealing with time series data. In simple terms, a time series is stationary if its statistical properties, such as mean and…
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Running npm install on a Server with 1GB Memory using Swap
Running npm install on a server with only 1GB of memory can be challenging due to limited RAM. However, by enabling swap space, you can extend the virtual memory and ensure smooth operation. This blog post will guide you through…
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Understanding My Top 5 CliftonStrengths
The CliftonStrengths assessment has revealed my top five strengths: Achiever, Intellection, Learner, Input, and Arranger. This blog post explores each of these strengths in detail, how they manifest in my life, and how I leverage…
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Understanding ArchiMate Motivation Diagram
In the realm of enterprise architecture, conveying complex ideas and plans in a clear and structured manner is crucial. ArchiMate, an open and independent modeling language, serves this purpose by providing architects with the…
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Embracing Digital Twins Technology - Key Considerations, Challenges, and Critical Enablers
Digital Twins technology has emerged as a transformative force in various industries, providing a virtual representation of physical systems that uses real-time data to simulate performance, behavior, and interactions. This blog…
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Minimizing GPU RAM and Scaling Model Training Horizontally with Quantization and Distributed Training
Training multibillion-parameter models in machine learning poses significant challenges, particularly concerning GPU memory limitations. A single NVIDIA A100 or H100 GPU, with its 80 GB of GPU RAM, often falls short when handling…
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Types of Transformer-Based Foundation Models
Transformer-based foundation models have revolutionized natural language processing (NLP) and are categorized into three primary types: encoder-only, decoder-only, and encoder-decoder models. Each type is trained using a specific…
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Singapore Airlines' Digital Transformation Story
Singapore Airlines (SIA) has embarked on a comprehensive digital transformation journey to maintain its competitive edge and meet the evolving needs of its customers. This transformation focuses on enhancing operational…
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First Principle Thinking - A Path to Innovative Problem-Solving
In the realm of problem-solving and innovation, one approach stands out for its ability to strip down complex issues and build solutions from the ground up: first principle thinking. Popularized by thinkers like Aristotle and…
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The Digital Transformation Success Story of The New York Times
In an era where many legacy media companies have struggled to adapt to digital disruption, The New York Times has emerged as a standout success story. With over 7.6 million digital subscribers, the Times has demonstrated how a…
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The Power of Personas and How Might We Questions in User-Centric Design
During my recent project, two concepts that resonated with me deeply were the creation of personas and the use of "how might we" questions. These concepts proved essential in shaping a user-centric approach that directly…
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