All Episodes (469)
Page 20 of 47
Ep. 279
Exploring Generative Adversarial Networks (GANs) - The Power of Unsupervised Deep Learning
Welcome back to another episode of 'Continuous Improvement,' where we delve into the latest advancements in technology and their implications. I'm your host, Victor Leung. Today, we're exploring a fascinating and transformative technology in the field of artificial intelligence—Gener
Ep. 278
The Augmented Dickey—Fuller (ADF) Test for Stationarity
Welcome back to another episode of Continuous Improvement! I'm your host, Victor Leung, and today, we're diving into a crucial concept in statistical analysis and machine learning—stationarity, especially in the context of time series data. We'll explore what stationarity is, why it matt
Ep. 277
Running npm install on a Server with 1GB Memory using Swap
Hello and welcome back to "Continuous Improvement," the podcast where we dive into the intricacies of optimizing performance, whether it's in life, work, or tech. I'm your host, Victor Leung, and today, we're tackling a common challenge for those working with limited server res
Ep. 276
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 them to reach my full potential.
Ep. 275
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 tools to describe, analyze, and visualize the relationships among busines
Ep. 274
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 post delves into the considerations for adopting Digital Twins technolo
Ep. 273
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 32-bit full-precision models. This blog post will delve into two power
Ep. 272
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 objective function and is suited for different types of generative tas
Ep. 271
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 efficiency, improving customer experiences, and fostering innovation. Below are
Ep. 270
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 modern innovators like Elon Musk, first principle thinking encourages us t