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keymakr.com | ||
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scorpil.com
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| | | | | In Part One of the "Understanding Generative AI" series, we delved into Tokenization - the process of dividing text into tokens, which serve as the fundamental units of information for neural networks. These tokens are crucial in shaping how AI interprets and processes language. Building upon this foundational knowledge, we are now ready to explore Neural Networks - the cornerstone technology underpinning all Artificial Intelligence research. A Short Look into the History Neural Networks, as a technology, have their roots in the 1940s and 1950s. | |
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anitagraser.com
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| | | | | This post looks into the current AI hype and how it relates to geoinformatics in general and movement data analysis in GIS in particular. This is not an exhaustive review but aims to highlight some of the development within these fields. There are a lot of references in this post, including some to previous work... | |
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www.v7labs.com
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| | | | | What is machine learning and why is it important? Learn how machine learning is already transforming our lives, and what are its limitations. | |
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www.craftinginterpreters.com
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| | | [AI summary] The text provides an in-depth overview of the Lox programming language, covering its design, features, and implementation. It discusses the language's minimalistic approach, including its support for expressions and statements, object-oriented programming (OOP) concepts like classes, inheritance, and initialization, as well as its lack of a comprehensive standard library. The text also explores design decisions, such as the use of the < operator for inheritance, the absence of a new keyword, and the handling of expressions versus statements. It concludes by highlighting the language's simplicity and the open questions it raises about syntax and semantics. | ||
