Software Alternatives, Accelerators & Startups

Facebook.ai VS Laravel Artisan Cheatsheet

Compare Facebook.ai VS Laravel Artisan Cheatsheet and see what are their differences

Facebook.ai logo Facebook.ai

Everything you need to take AI from research to production

Laravel Artisan Cheatsheet logo Laravel Artisan Cheatsheet

Shareable, bookmarkable cheatsheet for Laravel Artisan.
  • Facebook.ai Landing page
    Landing page //
    2023-05-09
  • Laravel Artisan Cheatsheet Landing page
    Landing page //
    2023-04-28

Facebook.ai features and specs

  • Research and Development
    Facebook AI is heavily invested in advancing AI research, contributing to numerous breakthroughs and innovations in the field, which benefits the global AI community.
  • Open Source Contributions
    It provides open-source AI tools and frameworks, like PyTorch, which are widely used and supported by a large community, enhancing accessibility and collaboration in AI development.
  • Diverse Applications
    Facebook AI integrates its technologies into various products and services, improving user experiences in applications like Facebook, Instagram, and WhatsApp.
  • Strong Academic Partnerships
    Facebook AI collaborates with academic institutions to drive research and development, facilitating a mutually beneficial exchange of knowledge and resources.

Possible disadvantages of Facebook.ai

  • Privacy Concerns
    There are ongoing concerns about how Facebook uses AI in terms of data privacy and user surveillance, reflecting broader criticisms of the company’s data policies.
  • Bias and Fairness Issues
    AI systems developed or deployed by Facebook, like many others, may reflect biases present in training data, leading to unfair outcomes.
  • Resource Intensity
    Developing and maintaining large-scale AI models demands significant computational resources, which can be costly and raise concerns about energy consumption.
  • Dependency and Control
    Reliance on Facebook’s AI tools can lead to dependency on their ecosystem, where control and data remain largely with Facebook, raising issues about centralization.

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.

Category Popularity

0-100% (relative to Facebook.ai and Laravel Artisan Cheatsheet)
AI
100 100%
0% 0
Developer Tools
68 68%
32% 32
Productivity
0 0%
100% 100
Data Science And Machine Learning

User comments

Share your experience with using Facebook.ai and Laravel Artisan Cheatsheet. For example, how are they different and which one is better?
Log in or Post with

Social recommendations and mentions

Based on our record, Facebook.ai should be more popular than Laravel Artisan Cheatsheet. It has been mentiond 2 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.

Facebook.ai mentions (2)

  • 13B LLaMA Alpaca LoRAs Available on Hugging Face
    Many settings affect the outputs in interesting ways, but that's half the fun. These LoRAs are very lightly trained; more training may or may not help. The competitions are also performed using zero-shot text guessing, and if Facebook said it, you can bet that's actually Meta AI saying it, and they are leaders in the field. Source: about 2 years ago
  • [D] Current trends in computer vision related to unsupervised learning
    You should look at the entire niche of MAE-related papers, that's quite exciting, and the neuroscience-inspired stream of stuff like Barlow Twins. As well, the official Facebook AI blog is surprisingly good coverage of much of the interesting un/semi-supervised DL research FAIR does, and worth going through. Source: almost 3 years ago

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

What are some alternatives?

When comparing Facebook.ai and Laravel Artisan Cheatsheet, you can also consider the following products

Deep Learning Gallery - A curated list of awesome deep learning projects

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

Lobe - Visual tool for building custom deep learning models

Laravel Voyager - The missing Laravel admin

A.I. Experiments by Google - Explore machine learning by playing w/ pics, music, and more

Invoker - The no-bull Laravel tool