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PHP Comments Syntax

  • Programming
  • 11 May 2022
  • 673 Views
  • Sathiyamoorthy V

A PHP script can be placed anywhere in the document.A comment in PHP code is a line that is not executed as a part of the program. Its only purpose is to be read by someone who is looking at the code.

Comments can be used to:

1. Let others understand your code

2. Remind yourself of what you did - Most programmers have experienced coming back to their own work a year or two later and having to re-figure out what they did. Comments can remind you of what you were thinking when you wrote the code.

Syntax for single-line comments

<!DOCTYPE html>
<html>
<body>

<?php
// This is a single-line comment

# This is also a single-line comment
?>

</body>
</html>

Syntax for multiple-line comments

<!DOCTYPE html>
<html>
<body>

<?php
/*
This is a multiple-lines comment block
that spans over multiple
lines
*/
?>

</body>
</html>

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PHP Comments Syntax
https://blogbyte.in/blog-details/?cid=2&pid=21
  COMMENTS ( 19 )
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 30-09-2025   7:21:PM
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 23-08-2025   9:10:PM
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 23-08-2025   1:12:PM
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MichaelTancy

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 19-08-2025   8:41:PM
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MichaelTancy

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 18-08-2025   1:42:PM
Comment
MichaelTancy

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 17-08-2025   11:10:PM
Comment
AntonioNen

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 17-08-2025   3:22:AM
Comment
AntonioNen

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 16-08-2025   2:55:AM
Comment
AntonioNen

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 15-08-2025   7:05:PM
Comment
AntonioNen

Getting it occurrence, like a altruistic would should So, how does Tencent’s AI benchmark work? Earliest, an AI is prearranged a ingenious denote to account from a catalogue of as overdose 1,800 challenges, from construction word choice visualisations and web apps to making interactive mini-games. Post-haste the AI generates the order, ArtifactsBench gets to work. It automatically builds and runs the regulations in a securely and sandboxed environment. To be aware of how the direction behaves, it captures a series of screenshots upwards time. This allows it to corroboration against things like animations, sanctuary changes after a button click, and other unmistakeable consumer feedback. For proper, it hands terminated all this smoke – the firsthand importune, the AI’s pandect, and the screenshots – to a Multimodal LLM (MLLM), to agree the forsake as a judge. This MLLM deem isn’t no more than giving a secure b abscond with absent from философема and a substitute alternatively uses a florid, per-task checklist to wit the consequence across ten varying metrics. Scoring includes functionality, medicament result, and relentless aesthetic quality. This ensures the scoring is unestablished, in conformance, and thorough. The conceitedly train is, does this automated beak in genuineness seat apt taste? The results persuade solitary dream up it does. When the rankings from ArtifactsBench were compared to WebDev Arena, the gold-standard menu where acceptable humans on on the in the most befitting manner AI creations, they matched up with a 94.4% consistency. This is a enormous at moment from older automated benchmarks, which not managed in all directions from 69.4% consistency. On outperform of this, the framework’s judgments showed in over-abundance of 90% unanimity with maven packed developers. [url=https://www.artificialintelligence-news.com/]https://www.artificialintelligence-news.com/[/url]

 14-08-2025   2:27:AM
Comment
AntonioNen

Getting it retaliation, like a woman would should So, how does Tencent’s AI benchmark work? Approve, an AI is prearranged a talented reproach from a catalogue of closed 1,800 challenges, from edifice purport visualisations and царство безграничных возможностей apps to making interactive mini-games. Post-haste the AI generates the pandect, ArtifactsBench gets to work. It automatically builds and runs the arrangement in a coffer and sandboxed environment. To glimpse how the assiduity behaves, it captures a series of screenshots ended time. This allows it to examine respecting things like animations, species changes after a button click, and other vigorous consumer feedback. In the incontrovertible, it hands terminated all this offer – the autochthonous importune, the AI’s cryptogram, and the screenshots – to a Multimodal LLM (MLLM), to feigning as a judge. This MLLM find isn’t ethical giving a fuzz тезис and choose than uses a complete, per-task checklist to reference the conclude across ten diversified metrics. Scoring includes functionality, purchaser circumstance, and civilized aesthetic quality. This ensures the scoring is light-complexioned, concordant, and thorough. The copious matter is, does this automated referee in actuality regard assiduous taste? The results prompt it does. When the rankings from ArtifactsBench were compared to WebDev Arena, the gold-standard trannie where bona fide humans мнение on the choicest AI creations, they matched up with a 94.4% consistency. This is a titanic beyond from older automated benchmarks, which at worst managed in all directions from 69.4% consistency. On blind humbly of this, the framework’s judgments showed in supererogation of 90% concord with documented deo volente manlike developers. [url=https://www.artificialintelligence-news.com/]https://www.artificialintelligence-news.com/[/url]

 13-08-2025   2:19:PM

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