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Google Fonts

Sébastien Merour
publié le 27/03/2020 à 17h47 | modifé le 25/04/2020 à 16h54
Catégorie : Front-End | Commentaires (64932)
Google Fonts
Description

Google Fonts est une service d'hébergement de polices de caractères créé en 2010. Ce service, créé par Google, permet d'afficher des polices de caractères spécifiques sur un site web, grâce à un fichier CSS disponible sur le site de Google Fonts. Les développeurs peuvent faire appel à ce fichier CSS en mode "embed", ou bien en téléchargeant le fichier CSS pour l'intégrer ensuite en local sur le site. Il est préférable de l'utiliser en mode "embed" pour ne pas ralentir l'affichage du site.

Fonctionnalités
Police d'écriture
Année de création
2010
Licence
SIL Open Font License 1.1 / Apache License
Langage
CSS
Liens
Aux dernières nouvelles
960 polices de caractères gratuites. Polices populaires : Open Sans, Roboto, Lato, Slabo, Oswald and Lobster.
64932 Commentaire(s)
  1. user
    AI_Engineer_jary
    14/10/2026 à 10h09  commentaire modifé
    Sending every AI output to a person creates delay without guaranteeing careful review, while sending none can hide costly errors. A better design routes cases according to both uncertainty and the consequence of a wrong decision. This human-in-the-loop AI design can define those boundaries. The reviewer needs the source material and proposed action. The escalation reason belongs beside them. A bare model answer provides too little context. https://ai-software-development.net An AI review workflow should record approval, correction or rejection as distinct outcomes. Corrections may become evaluation cases after privacy review. The queue also needs a fallback when reviewers are unavailable. Pausing the action is safer than silently approving it.
  2. user
    AI_Dev_jary
    14/10/2026 à 10h05  commentaire modifé
    A production response cannot be diagnosed from the model name alone because prompt templates, retrieval filters, tool definitions and preprocessing rules can all change the result. An LLMOps architecture should attach those versions to each trace without logging secrets. Capture the input class and retrieved source identifiers. Record each tool call with its latency and policy outcome. The record should be detailed enough to reproduce a failure in a safe environment. https://ai-software-development.net A production AI operations plan also needs ownership for alerts. A rising error count is useful only when the team knows which release changed, which workflow is affected and how to restore the previous configuration.
  3. user
    Devinnop
    14/10/2026 à 10h05  commentaire modifé
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    14/10/2026 à 10h01  commentaire modifé
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    14/10/2026 à 10h00  commentaire modifé
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