Artificial intelligence became the most important thing for computer scientists and let’s be honest it has made our lives easier. However, artificial intelligence always uses programming languages like Python and R and many more to develop sites and new features that help people understand things better. AI has become common and pretty much important for everyone nowadays but people require coding to build any type of AI model. However, now with various innovations, we don’t need coding and a deep knowledge of concepts like linear algebra, calculus, and statistics. Many pre-trained models have come to the market which leads to less need for learning coding and makes AI easier to use.
Artificial intelligence has been transforming every day and there are many factors that are leading to these changes. So let’s look into the things that lead to AI development and make it more user-friendly than ever before.
1. The Rise of No-Code and Low-Code Platforms
AI has come a long way and it has been making many changes. Now we can make AI models without coding. Well, the new no-code and low code platforms have made it easier to create AI without actual coding so now people don’t have to learn coding in depth. People can use graphical interfaces and they don’t have to code line by line which makes things easier.
No-Code Platforms
People can understand artificial intelligence program where they can learn in-depth coding but nowadays we get platforms like Google AutoML and Teachable Machine which help in training models without coding. They provide drag-and-drop tools and pre-built templates that will help users train models like image recognition and language translations. You don’t need many things for a setup and these platforms take care of everything like algorithms and programming so that now you can focus on the application and results.
Low-Code Platforms
People often think in low code platforms we have to use complete coding then what benefits does it have? Well, low-code tools indeed need some coding but tools like Microsoft Power Platform or IBM Watson Studio have been very useful to reduce extra manual programming. So, low coding platforms have pre-existing code or use built-in functions that help in creating new models. People who are not into programming or haven’t learned enough coding like business analysts or professionals can easily use these codes for creating new models.
2. Pre-trained Models and APIs
AI has become easier to use than before because nowadays we can get ready-made AI tools that are pre-trained models and API which makes things simpler. Many big companies like Google, and Microsoft have launched tools that have built-in AI tools so that we don’t have to create them from scratch. We can directly connect with these big companies and their tools and with only a few clicks or lines of code, we can use powerful AI features like image recognition or language understanding in our own app or project.
Many tools can be easily found like OpenAI’s GPT API has powerful natural language understanding and generation while Google Cloud Vision API recognises objects and texts and all these help in creating innovative features.
These models already have big data sets that can convert your idea to results. So users don’t have to start anything from scratch, they just have to put in their input then they can get intelligent results back.
3. User-Friendly Interfaces and Templates
AI has become even more easy to understand with modern AI tools that have highly intuitive interfaces which are perfect for non-programmers. You can find many examples of such platforms and templates that are perfect for creating easy models like Teachable Machine by Google helps us to create machine learning models with the help of some examples through a webcam or microphone.
Some other example where you can find easy templates and interfaces is Lobe.ai, which was acquired by Microsoft. This helps in creating computer vision models and you have to do nothing except for uploading images and categorizing them. That’s it, the remaining things will be done by Lobe.ai to where no programming is necessary.
You all must be thinking that it couldn’t be that easy to use all these tools but believe us they are designed in such a way that if you can create a slideshow or spreadsheet you can easily create new thumbs without writing a single line of code.
4. AutoML and Automation of Machine Learning Tasks
AutoML has brought many revolutions in AI through data science and machine learning, in which we can develop AI models without needing deep knowledge. Like if we talk about traditional machine learning models we would require many steps to create them like.
- Data collection and cleaning
- Feature selection
- Model selection
- Training and testing
- Deployment and monitoring
However, when we use AutoML platforms we don’t have to do all these steps by ourselves because AutoML automates many of these steps. Tools like Google Cloud AutoML, Amazon SageMaker Autopilot, and H2O.ai are perfect examples that make you analyze your data and then these tools automatically select the best models.
AutoML works best when you don’t have time to focus on complicated technical things so AutoML does everything for you and you just have to define the problem and interpret the results instead of programming.
5. WYSIWYG Tools for AI
“What You See Is What You Get”
(WYSIWYG) tools have made creating websites a lot easier and you can do graphic designing by just clicking and dragging things, without needing to write code. Nowadays there are many tools that help people in creating AI projects and connecting blocks by using easy-to-understand visuals. You can find many things as an example like KNIME and RapidMiner help users in building data projects by linking blocks together. There are other tools like Bubble and Hugging Face Spaces to help with visual interface and build the latest AI features without coding. These are easy to use because you just have to give a story or picture and voila! You have your perfect results without writing codes.
6. AI-Enhanced Learning Tools
You can also learn Artificial Intelligence programs through AI itself. Well, many online platforms take AI’s help to create personalized learning and quizzes and other things for better learning without getting lost in code.
We no longer need coding to build AI programs because it has become easier to create anything with the already available models that are pre-trained and use their knowledge and skills to create new features without using codes. People who don’t know coding do not have to learn artificial intelligence program and professionals like business analysts can directly solve problems and create anything you want.