Developers are implementing artificial intelligence in mobile applications to speed up tasks. Artificial intelligence helps companies improve the efficiency of data processing, respond to customer requests, manage workflows, and more.
OpenAI allows you to automate repetitive tasks, such as customer support or data entry, while giving developers more time to complete more complex tasks. OpenAI can analyze vast amounts of data to uncover trends, insights, and patterns that developers can use to make informed app development decisions.
What are Artificial Intelligence Models?
AI models are algorithms or programs that use datasets to recognize certain patterns. This allows artificial intelligence to predict or draw conclusions based on huge amounts of data. AI models are great for solving complex problems while saving money and increasing efficiency compared to conventional development methods.
Why Develop OpenAI Integrated Apps in Business?
If you use AI in your mobile app development process, you can bring more creativity and innovation to it. Artificial intelligence allows you to provide better interaction with end users.
The main task of AI is to solve the everyday problems of users. AI can collect important data from users' devices, such as location, daily activities, and contacts, to increase engagement and solve problems. AI can store this data to improve mobile applications and facilitate human needs.
Also, AI allows you to build the functionality of augmented reality applications to a whole new level. In this way, you can improve the recognition of images and objects in real-time, which will allow you to develop innovative and responsive solutions.
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The most important roles of AI in development
- Increasing the level of automation.
- Automatic answer function.
- Search engine optimization.
- Automated logical thinking.
- Chatbots with artificial intelligence.
- Combining AI and the Internet of Things.
- Enable real-time translation.
- Highly personalized user experience.
- Enhanced security with face recognition.
The Potential of Artificial Intelligence in Mobile Apps
Artificial intelligence is designed to mimic the human mind and thus allow you to perform actions much faster than a person. AI also covers areas such as machine learning, natural language processing, deep learning, computer vision, and others. Such solutions are already being used in healthcare, finance, real estate, and other areas of customer service. Thus, we can conclude that the possibilities of AI are endless for business improvement.
Mobile applications use huge data streams, which is an ideal environment for AI to work. Even though AI-based solutions are new, their implementation should not scare business owners.
Let's take a look at the top three benefits of AI in mobile apps development.
Enhanced user experience
With AI, your clients can interact with the app more intuitively, resulting in a more personalized experience. AI algorithms read the emotions and moods of users and make it possible to improve services and products.
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Automated operations
AI algorithms embedded in mobile applications allow you to automate workflows and routine actions from the schedule of employees who use corporate software. In this way, the accuracy of working with data can be improved.
Increased efficiency
Mobile applications that use AI functions perform tasks such as data processing, workflow management, and user requests much faster than a human. Thus, artificial intelligence can improve the efficiency of the enterprise.
How Much Does it Cost to Develop AI Mobile Apps?
It often costs $10,000 or more to create an AI-based app. The price of such a project is based on factors such as:
- research cost;
- data cost;
- resource cost.
Also, the development of a mobile application with the implementation of AI is influenced by:
- The decision to choose a ready-made or create a custom training model from scratch (this option is usually chosen by narrow focused companies that are ready to spend years training it and use it in their further software solutions);
- use of third-party APIs;
- the complexity of application development;
- the number of functions in the application;
- the types of AI you want to create;
- process automation, machine learning, voice recognition, or chatbot;
- app development platform, iOS or Android;
- software requirements.
It is also important to take into account the total cost of developing a solution, which includes the type and category of the application.
Benefits of OpenAI in Building Mobile Apps
Let's take a look at the benefits of using OpenAI in mobile app development.
Cost efficiency
Chat GPT uses data sampling and learning models, which allows businesses that decide to implement artificial intelligence into their business to save on development.
Chatbots and virtual assistants
OpenAI provides the ability to use chatbots and other assistants to provide high-quality and fast user support.
Predictive analytics
OpenAI uses machine learning to understand user needs. In this way, developers can create more targeted solutions.
Caution of Using OpenAI to Build Mobile Apps
Along with the advantages of OpenAI, it also has some drawbacks.
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Complexity of integration
For inexperienced developers, implementing OpenAI into a mobile app can be a daunting task. In order for all the functions to work correctly, experts must be well-versed in the basics of AI as well as the programming language used in creating mobile applications.
Lack of transparency
Implementing OpenAI can sometimes make it difficult to identify and fix bugs due to its complex algorithms.
Limited availability
OpenAI is a fairly new technology and not all developers know how to work with it. In addition, large computing power is required to use OpenAI, which can also become a problem.
Ethical issues
The use of any AI may create ethical issues when using the application. So there is a certain chance that some prejudices will show up, which may lead to discrimination against some users. That is why developers must be prepared to solve problems of this nature.
OpenAI Models in Our Use Case
We were approached by a client with a request to implement OpenAI AI models in their mobile application. In this paragraph, we will tell you about the technologies that we will use during development.
During the development of a mobile application, we use OpenAI models that are integrated through the API. We can implement these models in most modern programming languages. All available models of OpenAI are paid, but in addition to their initial price, you need to add the cost of their integration.
And now we will take a closer look at the models of OpenAI in mobile app development we use
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Whispers
Whisper is a model that is used to recognize audio files and translate them into text format. Unlike similar services from other providers, Whisper provides almost 100% recognition. We used this model in one of our projects where we needed to recognize text during a phone call. After trying various services, we came to the conclusion that Whisper did the task with the highest quality despite different languages, voices, and even background noise.
DALL·E
This model is used to create images based on a verbal description. DALL·E can create images from scratch and edit existing ones. Our goal is to explore this model's ability to resize and resize images without loss of quality or gentle cropping.
GPT
GPT is a model that can generate texts of varying complexity in natural and artificial languages. GPT-4, which was released on March 14, 2023, is trained in all materials up to and including goal 2021. thus the events that occurred after the chat are not known. The model does not have access to the Internet and cannot get information from there. Also, GPT does not use the data it receives from users. In addition, the chat will not give results on prohibited topics.
Since GPT uses natural language, it is used in many areas to obtain information. In programming, we use this mole to get solutions in the form of ready-made code for complex problems. Such code needs to be edited by a professional, but at the same time, we save a lot of resources during development.
SEO specialists use chat query algorithms to get more accurate answers in the required format. And sales managers can quickly get information about different technologies and development directions for more detailed customer consultation.
OpenAI plugins
Plugins are specific APIs that give the chat additional information in a specific area. Thus, if we connect a plugin, we can make the chat do some actions on the Internet, such as obtaining additional information or ordering goods and services. At the moment the plugins are still under development and in order to get them you need to create a special request and get permission.
In the future, OpenAI is going to create a plugin store where everyone can install them for their needs, and companies will be able to make their own chat plugins. Now we are studying in detail the issue of creating our own plugins and using them in our projects.
Want to Implement OpenAI in Your Mobile App Development Project?
Before you start developing your own mobile application, you need to consider factors that can affect the cost and time of creating your solution, such as technical complexity, application architecture scalability, security, data privacy, and meeting all other requirements of your project.
WEZOM has more than 20 years of experience, including in the development of mobile applications. If you want to create an innovative solution with AI and machine learning features, feel free to contact us. We will help you create an application that will help you automate complex operations that previously could take weeks of manual labor in the most cost-efficient way.