Top 10 AI Tools For Developers to Build Apps Faster

AI tools are software platforms that provide developers with easy access to various AI capabilities, such as machine learning, natural language processing, computer vision, speech recognition. These tools can help developers build apps faster and better by automating tasks, reducing errors, improving performance, and adding intelligence.

In this article, we will explore the top 10 AI tools that can help developers build apps faster. We will also look at some examples of apps built with these tools and how you can get started with them. Here are the top 10 AI tools for developers to build apps faster in 2023.

Top 10 AI Tools For Developers to Build Apps

TensorFlow

TensorFlow, developed by Google, is a widely used open-source machine learning platform. It’s popular among 160,000+ developers and 2,500+ companies. Offering versatile tools and resources, it helps build, train, and deploy ML models for diverse applications.

TensorFlow can help developers build AI-powered apps

  • Providing a high-level API called Keras that simplifies the process of creating and training neural networks.
  • Supporting multiple languages, such as Python, C++, Java, JavaScript, Swift, etc.
  • Offering a large collection of pre-trained models and data sets that can be used for common tasks, such as image recognition, natural language understanding, text generation, etc.
  • Enabling scalability and portability by running on various platforms, such as CPUs, GPUs, TPUs, mobile devices, cloud services, etc.

Examples of apps built with TensorFlow

  • Snapchat, which uses TensorFlow to power its face filters and lenses that can transform users’ faces into various characters and effects.
  • Airbnb, which uses TensorFlow to improve its search ranking and recommendation system by incorporating user preferences and behavior.
  • Spotify, which uses TensorFlow to enhance its music streaming service by providing personalized playlists and recommendations based on user tastes and moods.

To get started with TensorFlow, you can visit its official website and follow the tutorials and guides that will help you learn the basics of machine learning and TensorFlow. You can also check out the TensorFlow Hub, which is a repository of pre-trained models and data sets that you can use for your projects.

PyTorch

PyTorch, created by Facebook, is a rapidly growing open-source ML platform. With 1.8 million+ developers and 1,200+ companies on board, it offers versatile tools and resources. PyTorch empowers developers to build, train, and deploy ML models for diverse applications.

PyTorch can help developers build AI-powered apps

  • Providing a dynamic computational graph that allows developers to define and modify the model structure at runtime.
  • Supporting multiple languages, such as Python, C++, Java, etc.
  • Offering a large collection of pre-trained models and data sets that can be used for common tasks, such as image recognition, natural language processing, speech synthesis, etc.
  • Enabling scalability and portability by running on various platforms, such as CPUs, GPUs, mobile devices, cloud services, etc.
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Examples of apps built with PyTorch

  • Uber, which uses PyTorch to power its self-driving cars and ride-hailing service by incorporating computer vision, natural language understanding, reinforcement learning, etc.
  • Netflix, which uses PyTorch to improve its video streaming service by providing personalized recommendations and content optimization based on user preferences and behavior.
  • Instagram, which uses PyTorch to enhance its social media platform by providing features such as face detection, image segmentation, style transfer, etc.

To get started with PyTorch, you can visit its official website and follow the tutorials and guides that will help you learn the basics of machine learning and PyTorch. You can also check out the PyTorch Hub, which is a repository of pre-trained models and data sets that you can use for your projects.

IBM Watson

IBM Watson is a cloud-based platform for AI that was developed by IBM. It is one of the most comprehensive and powerful AI tools in the world, with over 30,000 developers and 20,000 companies using it. IBM Watson provides a wide range of services and APIs that enable developers to build, train, and deploy AI models for various applications.

IBM Watson can help Developers Build AI-powered Apps

  • IBM’s Watson Assistant API streamlines chatbot creation.
  • Supporting multiple languages, such as English, Spanish, French, German, etc.
  • Wide range of services: NLP, speech recognition, image recognition, more.
  • Secure and scalable on IBM Cloud, compliant with standards.

Examples of apps built with IBM Watson

  • H&R Block, which uses IBM Watson to power its tax preparation service by providing personalized advice and guidance based on user data and questions.
  • Staples, which uses IBM Watson to power its customer service platform by providing natural language interactions and solutions based on user needs and preferences.
  • Autodesk, which uses IBM Watson to power its design software by providing.
  • creative features, such as generative design, style transfer, image synthesis, etc.
  • Start with Watson: Visit official site, learn via tutorials. Use IBM Cloud Catalog for services and APIs.

Microsoft Azure Cognitive Services

Microsoft Azure Cognitive Services, from Microsoft, is a robust cloud-based AI platform. With 1.3 million+ developers and 25,000+ companies, it’s highly comprehensive. Offering diverse services and APIs, it empowers developers to create, train, and deploy AI models for various applications.

Microsoft Azure Cognitive Services can help developers build AI-powered Apps

  • Microsoft’s Bot Framework API streamlines chatbot creation.
  • Supporting multiple languages, such as English, Chinese, Hindi, Arabic, etc.
  • Wide range of services: NLP, speech recognition, image recognition, more.
  • Secure and scalable on Microsoft Azure cloud, compliant with standards.

Examples of apps built with Microsoft Azure Cognitive Services

  • Skype, which uses Microsoft Azure Cognitive Services to power its video calling and messaging service by providing features such as real-time translation, speech synthesis, sentiment analysis, etc.
  • Starbucks, which uses Microsoft Azure Cognitive Services to power its customer loyalty program by providing features such as face recognition, personalized recommendations, rewards redemption, etc.
  • Duolingo, which uses Microsoft Azure Cognitive Services to power its language learning app by providing features such as speech recognition, text analysis, pronunciation feedback, etc.

To get started with Microsoft Azure Cognitive Services, you can visit its official website and follow the tutorials and guides that will help you learn the basics of AI and Microsoft Azure Cognitive Services. You can also check out the Microsoft Azure Marketplace, which is a repository of services and APIs that you can use for your projects.

Amazon Lex

Amazon Lex, developed by Amazon, is a user-friendly cloud-based AI platform. With 500,000+ developers and 10,000+ companies using it, it’s both accessible and cost-effective. Amazon Lex offers an intuitive approach to crafting conversational agents or chatbots that can engage users through voice or text interactions.

Amazon Lex can help developers build AI-powered Apps

  1. Providing a graphical user interface that allows developers to design and test chatbots without coding.
  2. Supporting multiple languages, such as English, Spanish, French, German, etc.
  3. Integrates seamlessly with AWS services like Polly, Comprehend, Rekognition.
  4. Runs on AWS cloud for scalability, reliability, and performance.
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Examples of apps built with Amazon Lex

  • Capital One, which uses Amazon Lex to power its banking assistant called Eno that can help customers manage their accounts, pay bills, check balances, etc.
  • Domino’s Pizza, which uses Amazon Lex to power its ordering assistant called Dom that can help customers place orders, track deliveries, provide feedback, etc.
  • NASA Jet Propulsion Laboratory which uses Amazon Lex to power its mission control assistant called Audrey that can help engineers monitor and control spacecrafts, provide alerts, and answer questions.

To get started with Amazon Lex, you can visit its official website and follow the tutorials and guides that will help you learn the basics of AI and Amazon Lex. You can also check out the AWS Console, which is a dashboard that allows you to access and manage all your AWS products and services.

Google Cloud AI Platform

Google Cloud AI Platform, created by Google, is a robust cloud-based AI solution. With 2 million+ developers and 30,000+ companies utilizing it, it’s highly influential. The platform offers diverse products and services empowering developers to create, train, and implement AI models across different applications.

Google Cloud AI Platform can help developers build AI-powered Apps

  • Google’s Dialogflow API streamlines chatbot creation.
  • Supporting multiple languages, such as English, Chinese, Japanese, Korean, etc.
  • Wide range of products: NLP, speech recognition, image and video analysis, translation, more.
  • Secure and scalable on Google Cloud, compliant with standards.

Examples of apps built with Google Cloud AI Platform

  • Waze, which uses Google Cloud AI Platform to power its navigation and traffic app by providing features such as real-time routing, voice guidance, traffic alerts, etc.
  • Spotify, which uses Google Cloud AI Platform to power its music streaming service by providing features such as personalized recommendations, content optimization, music analysis, etc.
  • Snap, which uses Google Cloud AI Platform to power its social media platform by providing features such as face detection, image segmentation, style transfer, etc.

To get started with Google Cloud AI Platform, you can visit its official website and follow the tutorials and guides that will help you learn the basics of AI and Google Cloud AI Platform. You can also check out the Google Cloud Marketplace, which is a repository of products and services that you can use for your projects.

Dialogflow

Dialogflow is a cloud-based platform for AI that was developed by Google. It is one of the most easy-to-use and popular AI tools in the world, with over 1 million developers and 15,000 companies using it. Dialogflow provides a simple and intuitive way to build conversational agents or chatbots that can interact with users through voice or text.

Dialogflow can help developers build AI-powered Apps

  • Providing a graphical user interface that allows developers to design and test chatbots without coding.
  • Supporting multiple languages, such as English, Spanish, French, German, etc.
  • Offering a seamless integration with other platforms and services that can be used to enhance the chatbot functionality, such as Google Assistant, Facebook Messenger, Slack, Telegram, etc.
  • Enabling scalability and reliability by running on Google Cloud services and providing high availability and performance.

Examples of apps built with Dialogflow

  • KLM Royal Dutch Airlines, which uses Dialogflow to power its travel assistant called BlueBot that can help customers book flights, check-in, get boarding passes, etc.
  • Domino’s Pizza, which uses Dialogflow to power its ordering assistant called Dom that can help customers place orders, track deliveries, provide feedback, etc.
  • UNICEF, which uses Dialogflow to power its health assistant called U-Report that can help users get info, report issues, and participate in surveys related to health, education, and social issues.

To get started with Dialogflow, you can visit its official website and follow the tutorials and guides that will help you learn the basics of AI and Dialogflow. You can also check out the Dialogflow Console, which is a dashboard that allows you to access and manage all your chatbots.

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Wit.ai

Wit.ai is a cloud-based platform for AI that was developed by Facebook. It is one of the most easy-to-use and popular AI tools in the world, with over 200,000 developers and 5,000 companies using it. Wit.ai provides a simple and intuitive way to build natural language interfaces that can understand user inputs and intents.

Wit.ai can help developers build AI-powered Apps

  • Providing a graphical user interface that allows developers to design and test natural language interfaces without coding.
  • Supporting multiple languages, such as English, Spanish, French, German, etc.
  • Offering a seamless integration with other platforms and services that can be used to enhance the natural language interface functionality, such as Messenger, Slack, Telegram, etc.
  • Enabling scalability and reliability by running on Facebook cloud services and providing high availability and performance.

Examples of apps built with Wit.ai

  • Hello Jarvis, which uses Wit.ai to power its personal assistant that can help users manage their daily tasks, such as scheduling appointments, booking flights, ordering food, etc.
  • Mica, which uses Wit.ai to power its travel assistant that can help users plan their trips, such as finding hotels, attractions, restaurants, etc.
  • Luka, which uses Wit.ai to power its chatbot platform that can help users chat with various characters, such as celebrities, animals, fictional characters, etc.

To get started with Wit.ai, you can visit its official website and follow the tutorials and guides that will help you learn the basics of AI and Wit.ai. You can also check out the Wit.ai Console, which is a dashboard that allows you to access and manage all your natural language interfaces.

Hugging Face

Hugging Face, developed by Hugging Face, is a leading cloud-based AI platform. With 10 million+ developers and 500+ companies onboard, it’s at the forefront of innovation. Hugging Face offers advanced tools, libraries, and resources empowering developers to create, train, and implement natural language processing models for diverse applications.

Hugging Face can help developers build AI-powered Apps

  • Providing a high-level API called Transformers that simplifies the process of creating and training natural language processing models based on deep learning techniques.
  • Supporting multiple languages, such as English, Chinese, Hindi, Arabic, etc.
  • Offering a large collection of pre-trained models and data sets that can be used for common tasks, such as text classification, text generation, text summarization, etc.
  • Enabling scalability and portability by running on various platforms, such as CPUs, GPUs, TPUs, mobile devices, cloud services, etc.

Examples of apps built with Hugging Face

  • Write With Transformer: Boosts writing with suggestions, corrections.
  • Quizlet: Enhances learning with flashcards, games, tests.
  • Rasa: Builds chatbots that understand user inputs, intents.

To get started with Hugging Face, you can visit its official website and follow the tutorials and guides that will help you learn the basics of AI and Hugging Face. You can also check out the Hugging Face Hub, which is a repository of pre-trained models and data sets that you can use for your projects.

ML Kit

ML Kit is a mobile-based platform for AI that was developed by Google. It is one of the most easy-to-use and accessible AI tools in the world, with over 25 million developers and 1 billion devices using it. ML Kit provides a simple and convenient way to add AI capabilities to mobile apps without requiring any machine learning expertise.

ML Kit can help developers build AI-powered Apps

  • Providing a high-level API that allows developers to use various AI features with just a few lines of code.
  • Supporting multiple languages, such as English, Spanish, French, German, etc.
  • Offering a large collection of features that can be used for common tasks, such as image recognition, face detection, barcode scanning, text recognition, language identification, translation, etc.
  • Enabling scalability and performance by running on device or cloud depending on the feature and user preference.

Examples of apps built with ML Kit

  • Shazam, which uses ML Kit to power its music recognition app that can help users identify songs by listening to them.
  • Pinterest, which uses ML Kit to power its visual search app that can help users find similar images by taking a photo or uploading an image.
  • Kayak, which uses ML Kit to power its travel app that can help users scan their passports and boarding passes by using their camera.

To get started with ML Kit, you can visit its official website and follow the tutorials and guides that will help you learn the basics of AI and ML Kit. You can also check out the ML Kit Showcase, which is a collection of apps that use ML Kit for inspiration.

Frequently Asked Questions

Conclusion

AI is a powerful and exciting technology that can help developers build amazing apps faster and better. AI tools are software platforms or libraries that provide developers with easy access to various AI capabilities, such as machine learning, natural language processing, computer vision, speech recognition, etc.

These tools can help developers build apps faster and better by automating tasks, reducing errors, improving performance, and adding intelligence. We have also looked at some examples of apps built with these tools and how you can get started with them.