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Hugo (software) Hugo is a static site generator written in Go. Steve Francia [4] originally created Hugo as an open source project in 2013. Since v0.14 in 2015, [5] Hugo has continued development under the lead of Bjørn Erik Pedersen with other contributors. Hugo is licensed under the Apache License 2.0.
ILOVEYOU, sometimes referred to as the Love Bug or Loveletter, was a computer worm that infected over ten million Windows personal computers on and after 5 May 2000. It started spreading as an email message with the subject line "ILOVEYOU" and the attachment "LOVE-LETTER-FOR-YOU.TXT.vbs". [ 1] At the time, Windows computers often hid the latter ...
Static site generator. Static site generators (SSGs) are software engines that use text input files (such as Markdown, reStructuredText, AsciiDoc and JSON) to generate static web pages. [1] Static sites generated by static site generators do not require a backend after site generation, making them first-class citizens on content delivery ...
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AI supporting coaching and training efforts—such as by reviewing a junior developer’s code for errors In all of these instances, AI isn’t replacing a human task.
Image map. In HTML and XHTML, an image map is a list of coordinates relating to a specific image, created in order to hyperlink areas of the image to different destinations (as opposed to a normal image link, in which the entire area of the image links to a single destination). For example, a map of the world may have each country hyperlinked ...
The second-level domain name must be the thing to be created immediately when a user visits the .new website. Most likely, the .new will redirect to a company's main website. Google [n 2] Unknown: Yes .news: News organizations, educational publications, trade publications, neighborhood news blogs — Unknown: Yes .nexus: Google [n 2] Un ...
Retrieval augmented generation (RAG) is a type of information retrieval process. It modifies interactions with a large language model (LLM) so that the model responds to user queries with reference to a specified set of documents, using this information in preference to information drawn from its own vast, static training data.