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

Leveraging AI for smarter logistics and data-driven perspective on container utilization, maximizing efficiency and ROI Photo by Elevate on UnsplashOne 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 increase…

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

A deep dive into the strategies I learned for harnessing the power of Large Language Models 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…

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

Image created with Microsoft DesignerUnderstanding 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 and…

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

MSE, Log Loss, Cross Entropy, RMSE, and the Foundational Principles of Popular Loss Functions Photo by William Warby on UnsplashWelcome 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 models…

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Convolution Explained — Introduction to Convolutional Neural Networks | by Egor Howell | Dec, 2023

The fundamental building block of CNNs ”https://www.flaticon.com/free-icons/neural-network" title=”neural network icons.” Neural network icons created by Freepik — Flaticon.My recent articles have been a series on neural networks where we go from the simple perceptron to complicated architectures and how to deal with common problems in deep learning. If you are interested, feel free to check…

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Storytelling with Visualization — Which Area Has the Highest Socio-Economic Score, and Why | by Jin Cui | Dec, 2023

Once in a while, for more efficient allocation of resources, the Government may collect data from individuals or households about their demographic characteristics, such as age, gender, and country of birth, as well as their socio-economic characteristics, such as income, occupation and spend. Some of these data are then aggregated by geographic regions and made…

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Illuminating Insights: GPT Extracts Meaning from Charts and Tables | by Ilia Teimouri | Dec, 2023

Using GPT Vision to interpret and aggregate image data. Photo by David Travis on Unsplash.Integrating visual inputs like images alongside text and speech into large language models (LLMs) is considered an important new direction in AI research by many experts in the field. By augmenting these models to handle multiple modes of data beyond just…

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Soft Skills Is What Sets You Apart in Your Data Science Interviews | by Tessa Xie | Dec, 2023

Photo by Jason Goodman on UnsplashHow to up-level your structured problem solving skills and communication skills So you have brushed up on ML concepts, practiced Python and SQL for months, you think you are done with interview prep. But you might be missing the most important and hardest-to-prepare-for part of the interview — problem-solving skills.…

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