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Laravel Artisan Cheatsheet VS A.I. Experiments by Google

Compare Laravel Artisan Cheatsheet VS A.I. Experiments by Google and see what are their differences

Laravel Artisan Cheatsheet logo Laravel Artisan Cheatsheet

Shareable, bookmarkable cheatsheet for Laravel Artisan.

A.I. Experiments by Google logo A.I. Experiments by Google

Explore machine learning by playing w/ pics, music, and more
  • Laravel Artisan Cheatsheet Landing page
    Landing page //
    2023-04-28
  • A.I. Experiments by Google Landing page
    Landing page //
    2023-09-22

Laravel Artisan Cheatsheet features and specs

  • Comprehensive Command Reference
    Artisan.page provides a full list of Laravel Artisan commands, making it easy for developers to quickly find the command they need without navigating through extensive documentation.
  • User-Friendly Interface
    The cheatsheet is designed with a clean and intuitive interface, allowing users to easily browse and search for commands.
  • Time-Saving Tool
    By providing quick access to commands and their options, the cheatsheet helps developers save time, especially when working on large projects.
  • Educational Resource
    The cheatsheet is useful for both beginners and experienced developers to learn about less commonly used Artisan commands.
  • Regular Updates
    The cheatsheet is regularly updated to reflect new commands and changes in the latest Laravel releases, ensuring users have access to the most current information.

Possible disadvantages of Laravel Artisan Cheatsheet

  • Reliance on Internet Connection
    Since the cheatsheet is an online resource, users need an active internet connection to access it, which can be a limitation in environments with restricted connectivity.
  • Limited Contextual Guidance
    While the cheatsheet lists commands, it doesn't always provide in-depth explanations or context on when and how to use certain commands effectively.
  • Lack of Personalized Customization
    The cheatsheet doesn't offer customization options for users to create a personalized list of favorites or frequently used commands.
  • Dependency on External Maintenance
    As a third-party tool, users depend on its maintainers to keep the resource updated and correct, which can be a risk if updates are delayed or the site goes offline.

A.I. Experiments by Google features and specs

  • Accessibility
    A.I. Experiments by Google make AI technologies accessible to a broader audience, including non-experts, through interactive and user-friendly interfaces.
  • Innovation
    The platform encourages creativity and innovation by allowing users to experiment with cutting-edge AI technologies in novel and unexpected ways.
  • Education
    These experiments serve as educational tools, providing insight into how AI works and its potential applications, thereby demystifying complex AI concepts.
  • Community Engagement
    The experiments foster a sense of community by inviting users to share their creations and learn from others' projects, encouraging collaboration and peer learning.
  • Diverse Applications
    Google's AI Experiments showcase a wide range of applications, demonstrating the versatility of AI across different domains such as art, music, and everyday tasks.

Possible disadvantages of A.I. Experiments by Google

  • Limited Depth
    While the experiments are engaging, they may offer limited depth in functionality and scope, potentially oversimplifying complex AI concepts for advanced users.
  • Resource Intensive
    Some experiments may require robust computing resources or high-speed internet, which could be a barrier for users with older devices or limited connectivity.
  • Privacy Concerns
    Users might have privacy concerns regarding data usage and storage, particularly with experiments that require access to personal information or media.
  • Lack of Practical Applications
    While many experiments are intriguing, they may not always translate into practical or real-world applications, limiting their long-term usefulness for some users.
  • Dependency on Google's Ecosystem
    As these experiments are hosted on Google's platform, users might find themselves dependent on Google's ecosystem, which may raise concerns over data control and vendor lock-in.

Category Popularity

0-100% (relative to Laravel Artisan Cheatsheet and A.I. Experiments by Google)
Developer Tools
32 32%
68% 68
AI
0 0%
100% 100
Productivity
100 100%
0% 0
Software Marketplace
100 100%
0% 0

User comments

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Social recommendations and mentions

Based on our record, A.I. Experiments by Google should be more popular than Laravel Artisan Cheatsheet. It has been mentiond 5 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Laravel Artisan Cheatsheet mentions (1)

  • My problem with frameworks
    A framework provides a structure and methodology for guiding development in a consistent manner. "Modern" PHP frameworks have built-in assumptions and methodologies that don't make much sense to use. From Laravel's horrific artisan to Symphony's highly [opinionated stances] on "best practices" (https://symfony.com/doc/current/best_practices.html#best-practice-handle-form). Source: about 3 years ago

A.I. Experiments by Google mentions (5)

  • I asked an A.I. language model to write a conversation between two stoners after smoking DMT
    Try this: https://experiments.withgoogle.com/collection/ai. Source: over 2 years ago
  • Google Says AI Generated Content Is Against Guidelines
    But Google has a whole set of AI writing tools - https://experiments.withgoogle.com/collection/ai So by their own definition they are producing spam? - Source: Hacker News / about 3 years ago
  • [D] Do you know any tools (libraries/frameworks) that are intuitive enough for teenagers for a practical introduction to AI?
    Https://experiments.withgoogle.com/collection/ai might also help (I haven't used this IRL). Source: over 3 years ago
  • "RTX ON" ruined public perception of the biggest gaming advancement in a decade
    It's hard to imagine you've not seen Google's doodle guessing training (or their other experiments) but it's just another example of how little information you actually need to create a recognizable image, though Canvas also shows this off, but it has the benefit of material information. Source: over 3 years ago
  • [D] Researching with no affiliations to any Universities/Academic organizations?
    To come back to your original question, as far as I'm aware anyone can publish on arxiv or researchgate. People will just tend to take you less serious. Maybe a better solution for you is something like this https://experiments.withgoogle.com/collection/ai . You already said you think your idea might be industry changing so if it truly is, I'm sure people will start noticing you. Source: almost 4 years ago

What are some alternatives?

When comparing Laravel Artisan Cheatsheet and A.I. Experiments by Google, you can also consider the following products

Open Laravel - A repository of open source projects built using Laravel

6 Minute intro to AI - A good looking introduction to everything AI 🤖

Laravel Voyager - The missing Laravel admin

Talk to Books by Google - Browse passages from books using experimental AI

Invoker - The no-bull Laravel tool

Facebook.ai - Everything you need to take AI from research to production