Four Ways to Create AI Tools without Coding

Four Ways to Create AI Tools without Coding
Four Ways to Create AI Tools without Coding

There is a lot of discussion about how AI will alter your life. But unless you are proficient in coding and intimately knowledgeable about the most recent developments in AI technology, you probably believe you have no role to play in this. (Yes, I did.) However, it turns out that there are businesses out there creating software that would enable you to create AI tools without writing a single line of code.

The no-code movement: what is it?

The basic concept of “no-coding” is that anyone, regardless of coding proficiency, should be able to create programs, tools, and other digital services. While some employ a “low-code” strategy that still calls for some coding expertise, the services on this list are wholly “no-code.” They are specifically no-code approaches to creating AI tools.

To create your own AI tools, you don’t need to be a computer scientist. Not even coding knowledge is required. You can create a straightforward chatbot to assist consumers with problems on your website or train a neural network to recognize a particular kind of plant.

Consequently, be careful not to overestimate what will happen here. The most effective AI technologies will necessitate in-depth coding and computer science understanding. However, it’s helpful to know that there are tools available to assist you in creating useful AI tools from the start without the need for extensive prior coding (or technological) knowledge.

Train basic machine learning models without cost with Lobe.

If you assume that training a machine learning model is something that only AI professionals should do, think again. Even though machine learning is a challenging field, it is possible to create your own model for free using only a laptop and a webcam.

Because of a program called Lobe, The Microsoft-owned free app makes it simple to create your own machine learning model to recognize anything you desire. Do you require color differentiation in your app? It can be taught to do that. Want to create a program that can distinguish between various plant species? Go by train.

The example video demonstrates how quickly a model can be trained to recognize when someone is drinking from a cup. While you can add any photos you’ve already taken, you can also just use your webcam to take some pictures of yourself drinking from a cup.

You can use those images to train the model once you’ve taken a sufficient number of sample photos of you drinking and not drinking.The model can then be put to the test to see how well it predicts whether you’re drinking from a cup.

When it sees the cup in this instance, it performs admirably, but it incorrectly interprets holding your hand to your face as drinking. When the model makes a mistake, you can quickly correct it by using the feedback buttons, which should enable it to make more accurate future predictions.

Introducing Lobe | Build your first machine learning model in ten minutes.

If you would like to compare Google’s tool with Microsoft’s, it is called Teachable Machine, and it is likewise used to train rudimentary machine-learning models.

Create a custom AI chatbot using Juji Studio.

AI chatbots are really popular right now. Because of its user-friendly yet robust chat features, ChatGPT undoubtedly started the present AI frenzy. However, chatbots have been used for years on websites ranging from Facebook Messenger to healthcare services. Even though OpenAI used years of experience to create ChatGPT, you can create your own chatbot without writing a single line of code.

According to Juji Studio, creating a lightweight version of ChatGPT should be as simple as creating PowerPoint slides. You can use the program’s capabilities to create a functional chatbot to add to Facebook Messenger or your website. That entails managing the chatbot’s flow, modifying its personality, and providing it with a Q&A list so it can properly respond to any inquiries consumers might have.

Juji gives you the option of building a chatbot from scratch or using one of its pre-made templates. Customer care bots, interview bots for jobs, teaching assistant bots, and bots that may send out user experience surveys are just a few examples of the templates. Whatever option you select, a column on the left side of the screen will show the “brains” of your bot.

It resembles PowerPoint slides in every way: Each “slide” represents a separate task that the chatbot is supposed to do. For instance, the customer service chatbot has a slide called “Invite user questions until done” that is pre-programmed to listen to user queries until the user signals “done”.

You may go in and modify the questions the chatbot will ask the user, including more private ones like asking about a negative experience they had or the nicest part of their day, as well as more general ones like asking for an account number or email address.

Of course, you can adjust every aspect of the experience to suit your preferences. It is possible to create a bot that modifies its strategy in response to the user’s response to an opinion-based query.

Chatbot Tutorial: Teaching Chatbot to Understand User Sentiment With No Coding

Utilize Akkio to create machine learning models from massive data sets

While Akkio is the no-code AI solution for anyone wishing to construct AI models from their business’ data, Lobe is an excellent resource for training AI models using basic photos. Salesforce, Snowflake, Google Sheets, Google BigQuery, and HubSpot are just a few of the data sources you can access (although Akkio claims they can probably add data from another source for you as well).

You can use AI to superficially view your data in new ways. For instance, if you ask Akkio to add a new column to your data set for “average job length,” it would shrewdly combine existing data sets like “Total Working Years” and “Number of Companies Worked” to produce the new column for you.

While tools that use AI are always helpful, Akkio made our list because it allows you to train neural networks using imported data sets. In addition to prioritizing the best features for each problem you’re attempting to solve, Akkio guides you through the processes required to use machine learning to accomplish more with your data.

In order to remove bias from your new machine learning model, it even divides your data sets into two groups while creating your model—a training set and a testing set. The testing set assesses the correctness of your new model, while the training set is used to train the model on the data.

Additionally, Akkio will ensure that your model operates effectively under pressure at scale. The service offers options for deploying your model in any situation you require, allowing you to put all of the gathered data to use.

Getting Started with Akkio

Use bubbles to create anything you desire

You should use a tool like Bubble if you want the best no-code experience possible. One of the most often used methods for writing programs without knowing how to code is Bubble. When creating your app or service, you use an interface akin to Photoshop, adding new UI components and features as needed.

But although Bubble makes it simple for those of us without programming skills to create things, it is also tightly connected with AI. You can use Bubble to implement a wide range of AI applications in your systems, including: OpenAI products like ChatGPT, GPT-3, DALLE-2, and Whisper can be connected to your builds, and you can also use plugins created by other Bubble members.

With the help of all of these resources, you may create an AI program that makes use of the capabilities of GPT without first having to understand how it works.Utilizing the OpenAI Playground is one of the best ways to get started. Playground is based on OpenAI’s huge language models, much like ChatGPT, although it isn’t a chatbot.

As a result, you are able to use Playground to develop various goods and features that you can then quickly transfer to a Bubble project using the “View Code” button.