James Thorn·Mar 21, 2025Coffee & Caffeine explainedEverything you need to know about this sacred elixir and how to make the most out of it
InTDS ArchivebyJames Thorn·Jan 9, 2025How Large Language Models (LLMs) Learn: Playing GamesLLMs are just professional Mad Libs Players
James Thorn·Dec 17, 2022Probability vs StatisticsProbability, statistics, all familiar names to the Data Scientist. But if you had to explain what each of them is, would you be able to do…
James Thorn·Jun 21, 2022Train, Validation, and Test sets in Machine LearningExplained with an everyday example
James Thorn·Jun 20, 2022🧠 Google’s latest Language Model: LaMDA. A conscious machine or another marketing tool? 🧠Reflections on machine intelligence
InScience x EngineeringbyJames Thorn·Jan 8, 2022How to scale and take Machine Learning models to productionHow to deploy Machine Learning models that can serve thousands of users
James Thorn·Nov 14, 2021The Manta Network Polkadot Crowdloan ExplainedLearn how to contribute to the Parchain auction of the Manta Network project and the possible ROI of the Investment
James Thorn·Nov 13, 2021The Moonbeam Polkadot Crowdloan explainedLearn how to contribute to the Moonbeam and the possible ROI of the Investment
James Thorn·Nov 7, 2021The Acala Polkadot Crowdloan explainedLearn how to contribute to the Parchain auction of the Acala team and the possible ROI of the Investment
James Thorn·Nov 7, 2021Polkadot Parachain AuctionsA deep dive into how to participate and an analysis of the top candidates and the possible ROIA response icon1A response icon1
