How I Won Singapore’s GPT-4 Prompt Engineering Competition | by Sheila Teo | Dec, 2023

Sheila Teo

A deep dive into the strategies and takeaways I learned along the way Celebrating a milestone — The real win was the priceless learning experience! Last month, I had the incredible honor of winning Singapore’s first ever GPT-4 Prompt Engineering competition, which brought together over 400 prompt-ly brilliant participants, organised by the Government Technology Agency … Read more

AI in Logistics: Optimizing Container Fill Rate with Computer Vision | by Jonathan Law | Dec, 2023

Jonathan Law

Leveraging AI for smarter logistics and data-driven perspective on container utilization, maximizing efficiency and ROI Photo by Elevate on Unsplash One of the most glaring inefficiencies in logistics is the problem of empty space. Shipping containers, the lifeblood of global trade, often sail partially filled, wasting precious space and resources. This inefficiency translates to an … Read more

A Data Science Course Project About Crop Yield and Price Prediction I’m Still Not Ashamed Of | by Mikhail Sarafanov | Dec, 2023

A Data Science Course Project About Crop Yield and Price Prediction I’m Still Not Ashamed Of | by Mikhail Sarafanov | Dec, 2023

Hello, dear reader! During these Christmas holidays, I experienced a feeling of nostalgia for the past student years. That’s why I decided to write a post about a student project that was done almost four years ago as a project on the course “Methods and models for Multivariate data analysis” during my Master’s degree in … Read more

Debugging and Tuning Amazon SageMaker Training Jobs with SageMaker SSH Helper | by Chaim Rand | Dec, 2023

Chaim Rand

A new tool that increases the debuggability of managed training workloads Photo by James Wainscoat on Unsplash Considering all the new Amazon SageMaker features announced over the past year (2023), including at the most recent AWS re:invent, it would have been easy to have overlooked SageMaker SSH Helper — a new utility for connecting to … Read more

The Statistical Theory Behind Why Your Instagram Posts Have So Few Likes | by Tuan Nguyen Doan | Dec, 2023

The Statistical Theory Behind Why Your Instagram Posts Have So Few Likes | by Tuan Nguyen Doan | Dec, 2023

We have all been there … With hopeful eyes, we framed the Christmas spirit through our iPhone 15 lens, capturing the dinner table with an artist’s persistence and a poet’s soul, each photo a festive vignette brimming with friends, the shimmering glaze of the turkey, and the twinkle of ornaments. We meticulously pair every snapshot … Read more

Getting Started with Multimodality | by Valentina Alto | Dec, 2023

Valentina Alto

Image created with Microsoft Designer Understanding vision capabilities of Large Multimodal Models The recent advances in Generative AI have enabled the development of Large Multimodal Models (LMMs) that can process and generate different types of data, such as text, images, audio, and video. LMMs share with “standard” Large Language Models (LLMs) the capability of generalization … Read more

Courage to Learn ML: An In-Depth Guide to the Most Common Loss Functions | by Amy Ma | Dec, 2023

Amy Ma

MSE, Log Loss, Cross Entropy, RMSE, and the Foundational Principles of Popular Loss Functions Photo by William Warby on Unsplash Welcome back! In the ‘Courage to Learn ML’ series, where we conquer machine learning fears one challenge at a time. Today, we’re diving headfirst into the world of loss functions: the silent superheroes guiding our … Read more

Demystifying GQA — Grouped Query Attention for Efficient LLM Pre-training | by Bhavin Jawade | Dec, 2023

Bhavin Jawade

The variant of multi-head attention powering LLMs like LLaMA-2, Mistral7B, etc. A “Group” of Llamas (Source — Image created by the author using Dalle-3) In the previous article on training large-scale models, we looked at LoRA. In this article, we will examine another strategy adopted by different large language models for efficient training — Grouped … Read more

Animal Shelter Analytics in Practice

Ramshankar Yadhunath

An exploration of SAC’s Pioneering Role as a Data-Driven Social Enterprise Image generated by author with DALL-E In social enterprises, data is more than numbers on a spreadsheet. Every data point represents a life, a story, or an opportunity for positive change. One of the most significant examples of data-driven social enterprises are animal welfare … Read more