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  2. Comparison of documentation generators - Wikipedia

    en.wikipedia.org/wiki/Comparison_of...

    full semantic analysis of source code, including parameter types, conditional compilation directives, macro expansions Javadoc: JSDoc: Yes JsDoc Toolkit: Yes mkd: Customisable for all type of comments 'as-is' in comments all general documentation; references, manual, organigrams, ... Including the binary codes included in the comments. all ...

  3. List of Latin phrases (S) - Wikipedia

    en.wikipedia.org/wiki/List_of_Latin_phrases_(S)

    saltus in demonstrando. leap in explaining. a leap in logic, by which a necessary part of an equation is omitted. salus in arduis. a stronghold (or refuge) in difficulties. a Roman Silver Age maxim. Also the school motto of Wellingborough School . salus populi suprema lex esto. the welfare of the people is to be the highest law.

  4. Historical rankings of presidents of the United States ...

    en.wikipedia.org/wiki/Historical_rankings_of...

    The best 10% and worst 10% remain unchanged from their 2018 poll (top five: F. D. Roosevelt, Lincoln, Washington, T. Roosevelt, Jefferson; bottom five: A. Johnson, Buchanan, Trump, Harding, Pierce). 41% of the scholars polled said that if a president were to be added to Mount Rushmore, it should be FDR. 63% believed that the president should be ...

  5. Here’s who to blame — and who not to blame — for ... - AOL

    www.aol.com/finance/blame-not-blame-slumping-us...

    Here’s who to blame — and who not to blame — for the slumping US economy. In good economic times, politicians in the US rush to take all the credit. In bad times, it’s the other party’s ...

  6. Lexical analysis - Wikipedia

    en.wikipedia.org/wiki/Lexical_analysis

    Lexical tokenization is related to the type of tokenization used in large language models (LLMs) but with two differences. First, lexical tokenization is usually based on a lexical grammar, whereas LLM tokenizers are usually probability -based. Second, LLM tokenizers perform a second step that converts the tokens into numerical values.

  7. Huffington Post / YouGov Public Opinion Polls

    data.huffingtonpost.com/yougov

    20%. I watched part of it. 15%. I watched clips or highlights of the debate. 16%. I read or watched news stories analyzing the debate. 23%. I haven’t heard anything about it. 25%.

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