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Python “Tuple+”: Named Tuples. Tuples are a powerful Python type — but… | by Marcin Kozak | Jan, 2024

PYTHON PROGRAMMING Tuples are a powerful Python type — but named tuples even more so! Named tuples join the strengths of names and tuples. Photo by Ainur Iman on UnsplashThe three most popular Python data types are the list, the dictionary, and the tuple. Lists and dictionaries are mutable, meaning that their elements can be…

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Geospatial Indexing Explained: A Comparison of Geohash, S2, and H3 | by Ben Feifke | Jan, 2024

Geospatial indexing, or Geocoding, is the process of indexing latitude-longitude pairs to small subdivisions of geographical space, and it is a technique that we data scientists often find ourselves using when faced with geospatial data. Though the first popular geospatial indexing technique “Geohash” was invented as recently as 2008, indexing latitude-longitude pairs to manageable subdidivisions…

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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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