Posts
Articles published on this site.
I built a live dashboard for open-source LLM projects
Published:LLMRepos tracks 10,000+ open-source LLM repositories and shows which ones are gaining stars now, not just which ones have been around the longest.
How I Used AI to Build a 20-Week Training Plan
Published:How I used AI to design, iterate, and maintain a periodised 20-week training plan for HYROX and a half marathon - from writing the metaprompt to updating it with real data.
Building Simple HTML Tools with AI: From Idea to Deploy in Minutes
Published:Exploring how single-file HTML tools and AI coding assistants have transformed my workflow - from idea to deployed tool in minutes. No frameworks, no build steps, just pure simplicity and speed.
🏋️ My Fitness Journey: Strength, Climbing, Running, and HYROX
Updated:A timeline of my fitness journey - key milestones, personal bests, and small experiments across different sports over the years.
🏃♂️ Run Clubs in Singapore
Updated:A compilation of Singapore's exploding run club scene. I made this resource both for myself and to get friends to join me running.
📚 Book Notes: Machine Learning Design Patterns
Published:My notes on essential machine learning design patterns from Google Cloud experts, featuring practical insights on ML system architecture and implementation strategies for engineers.
Levels of Agentic Systems: Rethinking How We Define AI Agents
Published:Everyone argues on the definition of an AI agent because it's hard to define *exactly* what an AI agent is. Here I share my go-to definition.
100+ Open-Source AI Agent Frameworks and Tools
Published:A comprehensive comparison table of open-source AI Agents frameworks.
30+ Free Mac Apps That Improve My Workflow
Published:Here's a collection of tools that have genuinely enhanced my daily productivity as a knowledge worker and data scientist.
Why I Switched My Blog Framework from Jekyll to Astro
Published:Here's why I recently switched my blog framework from Jekyll to Astro.
What Are Embeddings and Why They’re Incredibly Useful
Published:If you’ve heard of the term "embeddings” before but don’t quite understand it, this post is for you.
6 Questions To Scope Business Requirements Before Starting a Data Science Project To Improve Success
Published:When there is a data science problem to solve, my instincts are to start coding and build something impactful with the latest technologies. However, I’ve learnt the importance of slowing down and taking the time to ask “Why?” to understand the root business problem from the stakeholders’ perspectives.
Traditional Natural Language Processing (NLP) Tasks: Understanding What Large Language Models (LLMs) Can Do For You
Published:Knowing traditional NLP tasks is useful to understand the capabilities of (Large) Language Models. Although LLMs may outperform in many areas, smaller fine-tuned models will always have a place due to their faster latency and lower costs. Here is an overview of NLP tasks.
5 Tips I’ve Learnt to Build My Professional Network in a New Country with Zero Connections
Published:Moving to Singapore with zero connections, I faced the challenge of building a professional network from scratch. Networking can change your career trajectory, leading to opportunities you might never have encountered otherwise. Here are five tips I've learned to make networking more enjoyable.
How AI Assistants Learn: The Training Process of Large Language Models
Published:Understanding the training process of AI assistants reveals how they evolve from simple language models to sophisticated, useful tools. Here's a breakdown of the stages involved.
Prompting Tips for Better LLM Outputs
Published:Large Language Models (LLMs) are complex probabilistic machines that predict the next word. Prompt engineering is about conditioning them for desired outputs. Each instruction steers the model's generation. Here are tips to prompting LLMs to generate useful outputs to your problems.
Simple Tips to Read More Books This Year
Published:I've read 4x as many books this year compared to previous years by implementing these tips.
How I Switched Careers From Mechanical Engineering to Data Science
Published:In this post, I’ll share how I transitioned from mechanical engineering to data science in 2020 while working full-time.
How Writing Online Landed Me Freelance Work Despite a Tough Job Market
Published:In today’s tough job market, especially in the competitive data science field, writing online and building a personal profile helped me stand out and find freelance work.
Why I Moved to Singapore Jobless, Leaving Behind My Free Data Science Degree
Published:Last year, my partner and I made a life-changing decision to uproot our comfortable lives in London and move to Singapore. We'd never been there before and had no connections. Here's why we moved.
Why I'm Building a Daily Online Writing Habit
Published:I recently signed up to an online writing course. Here's why.
How I Stay Up-To-Date On The Latest AI Advancements Without Feeling Overwhelmed
Published:Keeping up with the latest breakthroughs and industry trends can feel like an endless pursuit, leading to information overload. With so much information available, it’s easy to feel overwhelmed. Here’s how I stay updated without getting bogged down.
How Raycast Transformed My MacBook Workflow
Published:Here's why Raycast is a game-changer for productivity and I'll highlight my most frequent use cases and demonstrate how you can significantly improve your workflow.
50+ Open-Source Options for Running LLMs Locally
Updated:There are many open-source tools for hosting open weights LLMs locally for inference, from the command line (CLI) tools to full GUI desktop applications. Here, I’ll outline some popular options and provide my own recommendations. I have split this post into the following sections
Why I Use Open Weights LLMs Locally
Published:As someone who regularly uses Large Language Models (LLMs) for personal use and builds apps with LLMs - the choice between self-hosted open weights LLMs and proprietary LLMs is a recurring theme. Here, I share my personal insights as to why I use locally hosted LLMs.
Future of Compute from Jensen Huang, NVIDIA CEO
Published:Here are my highlights from Jensen Huang's keynote, NVIDIA CEO, hosted by ATxInspire Singapore.
H2O Singapore GenAI Day
Published:Here are my highlights from H2O.ai's Singapore GenAI Day, a fantastic event showcasing their latest contributions to GenAI.
Unpacking OpenAI’s Dev Day: A Leap Forward in AI Development
Published:Here are my thoughts on OpenAI's recent Dev Day announcements.
Decoding Kaggle's 2023 AI Report: Essential Tips for Machine Learning with Tabular Data 🔍📈
Published:For this blog post, I'll focus on tabular and time-series data (in the context of machine learning (ML) competitions) since this is the most common data type that data scientists face and has the highest applicability/utility.
🔍 Unmasking the Unusual: An Intro to Anomaly Detection
Published:In this beginner-friendly post I’ll introduce the concept of anomaly detection, also known as outlier detection, focusing on the popular technique of density estimation.
🎉 One Month in Singapore's AI Scene 🤖
Published:Here’s an overview of what I’ve been up to and my main takeaways from 24 hours of meetups and conferences on Generative AI, Machine Learning for finance, and Data Engineering.
Hello and Welcome! 👋
Published:Thanks for stumbling upon my website.