5962701 vues

Google Fonts

Sébastien Merour
publié le 27/03/2020 à 17h47 | modifé le 25/04/2020 à 16h54
Catégorie : Front-End | Commentaires (86155)
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.
86155 Commentaire(s)
  1. user
    MatthewApalf
    13/10/2026 à 20h22  commentaire modifé
    С пациентом работают профильные специалисты, которые оценивают состояние и подбирают безопасный план помощи. Изучить вопрос подробнее - вывод из запоя на дому недорого Красноярск
  2. user
    Leonzet
    13/10/2026 à 20h21  commentaire modifé
    Thanks for keeping the writing direct without losing the warmth that makes content feel human, and a stop at maplegrovecommercegallery carried both qualities forward, balancing professionalism and personality is a rare skill and the writers here have clearly figured out how to consistently land it across many posts which I notice.
  3. user
    ML_Systems_jary
    13/10/2026 à 20h21  commentaire modifé
    An AI development partner should be evaluated against the work that survives the demo. Ask how the team will define acceptance tests and handle unavailable data. It should also explain model version records and the transfer of operational ownership. A polished prototype says little about monitoring or rollback behavior. AI development partner criteria outlines the service context. Before signing, request a plain explanation of prompt ownership, then ask where deployment code and evaluation sets will be stored. The reference at https://ai-software-development.net points to related engineering services. Compare that scope with custom AI development requirements, then verify how changes will be approved after release. The strongest proposal names dependencies and failure conditions without promising a model outcome before the data has been reviewed.
  4. user
    AI_Builder_jary
    13/10/2026 à 20h21  commentaire modifé
    Some organizations have plenty of documents but no reliable way to identify their current version. That is a data governance problem before it is an AI problem. AI readiness assessment can frame the investigation, but it cannot replace ownership of the source material. Pause discovery when key data cannot be accessed, the target action has no accountable owner or a failed output has no safe destination. AI discovery readiness describes the broader service context. The plain reference is https://ai-software-development.net for systems that strip markup. Resume only after the workflow has a baseline, an escalation route and a clear definition of an acceptable result. Those conditions make later model comparisons meaningful instead of cosmetic.
  5. user
    AI_Builder_jary
    13/10/2026 à 20h20  commentaire modifé
    An AI feature inside a SaaS product inherits the application's security model. Model access must not bypass tenant boundaries or expose records the current user cannot open. The service context at AI integration services is relevant, but authorization should remain in application code rather than prompts. Use AI SaaS integration planning for the HTML reference. The plaintext project URL, https://ai-software-development.net, can be retained where formatting is removed. Map rate limits, timeouts and provider errors to product behavior users already understand. A fallback should preserve the transaction or draft rather than discard it. Logging also needs redaction rules because model inputs can contain customer data. These boundaries belong in the integration design before prompt tuning begins.
Préc
Suiv
Ajoutez un commentaire :
Mon Compte
StatisTricks