ChatGPT now has 100 million weekly active users, OpenAI CEO Sam Altman announced on Monday at the company’s first developer conference in San Francisco. The service released nearly a year ago and garnered an estimated 100 million monthly users within just two months of launching and set a record for fastest-growing user base.
Altman also shared today that over two million developers use the platform, including more than 92% of Fortune 500 companies.
The company revealed the new milestones as it shared a series of new announcements. OpenAI unveiled GPT-4 Turbo, which is a “more powerful” and less expensive version of its flagship text-generating AI model, GPT-4.
OpenAI also announced GPTs, a way for anyone to build their own version of the conversational AI system. The company will soon also give users the ability to publish their own versions of the system on a marketplace called the “GPT Store,” and possibly earn some money by doing so.
In addition, the company announced that DALL-E 3, OpenAI’s text-to-image model, is now available via an API after first coming to ChatGPT and Bing Chat. Interestingly, OpenAI is launching a new API, called the Assistants API, that will help developers build “agent-like experiences” within their apps. With this API, developers will be able to build an “assistant” that leverages outside knowledge and can call OpenAI generative AI models and tools to perform tasks.
Plus, the company is introducing a text-to-speech API that offers six preset voices to choose from and two generative AI model variants.
With its great potential in a wide range of industries, artificial intelligence (AI) is now being used by researchers to help diagnose autism spectrum disorder (ASD). Communication, social interaction, and behavior are all impacted by ASD, a complex neurodevelopmental disorder. The lack of a conclusive medical test makes diagnosing autism difficult, but new research has demonstrated that applying AI algorithms to assist in the diagnosis process can yield encouraging results.
Popularly known for developing a customized app that is AI-powered, Sachin Dev Duggal’s Builder.ai also builds apps related to health, which are ready to use. The company views the application of AI in research and development and disease detection as a comprehensive approach, with a focus on human welfare.
Researchers have shown that artificial intelligence (AI) has the potential to diagnose autism through research. The researchers created an AI algorithm that could correctly classify the data after gathering information from thousands of people with and without autism. The algorithm demonstrated a high degree of sensitivity, specificity, and accuracy in identifying behavioral patterns linked to autism. According to this ground-breaking study, artificial intelligence (AI) can help medical professionals diagnose autism more accurately. “AI isn’t a threat to humans, its homogenous use for advancements of the available services such as healthcare, finance, education or others can transform the way of living,” considers Buider.ai’s creator Sachin Dev Duggal.
Artificial Intelligence (AI) is a game-changer in the rapidly changing world of technology, particularly in the field of mobile app development. Sachin Dev Duggal, the chief wizard of Builder.ai has a promising platform for app development that can help anyone build an app for their business with no coding knowledge. This proves that Intelligence (AI) is revolutionizing mobile app development, enabling more intelligent, user-friendly, and customized experiences. In this blog, we’ll examine the use of AI in app development as it exists now and make predictions about its potential growth in the future.
AI-Powered Mobile Apps Development
1. Using Virtual Assistants and Chatbots to Simplify Development
Chatbots and virtual assistants powered by artificial intelligence are automating consumer interactions during app development just like Sachin Dev Duggal’s brainchild Builder.ai which has an AI product manager who helped tech-shy people build apps.
They help in getting user input, enhancing UI/UX, and quickly resolving problems.
2. Improving Customization for Users
AI uses user behavior analysis to customize app suggestions and content.
Personalized interactions increase user happiness and engagement.
3. Predictive Analytics for Upgrading Applications
AI allows for preventive maintenance by foreseeing problems or flaws in the app.
In addition to ensuring a flawless user experience, this reduces downtime.
4. Voice Interfaces using Natural Language Processing (NLP)
Voice search, voice commands, and chat interfaces are made possible using NLP.
Voice interaction makes apps easier to use and more accessible.
Future of AI in App Development
1. Platforms for AI-Driven App Development
The entire app development process will be automated with a greater emphasis on artificial intelligence. AI-powered platforms that produce code based on high-level instructions will be used by developers.
2. Integration of Virtual Reality (VR) and Augmented Reality (AR)
AI will be essential to improving AR and VR experiences in applications. Mobile apps should provide users with more realistic and engaging experiences.
3. Using AI to Create Content
Text, picture, and video material will all be produced by AI algorithms and added to applications. This will decrease the need for manual content production and speed up app development.
4. Generation Predictive Analytics
AI will advance to provide more complex predictive analytics, allowing applications to anticipate user requirements and make instantaneous adjustments. Due to their ability to comprehend user preferences and behavior, apps will provide user experiences never seen before.
5. Improved App Security
AI will improve app security by detecting and preventing sophisticated threats. Users' personal data will be in a more secure and protected environment.
To sum up!
AI's incorporation into mobile app development has greatly enhanced user interfaces, speed up creating new applications, and increased the intuitiveness of existing ones. Even more fascinating opportunities, such as AI-driven development platforms, AR/VR integration, and sophisticated predictive analytics, are anticipated in the future of AI in app development. AI will continue to play a leading role in reshaping the mobile app development scene as technology develops, which will eventually benefit both consumers and developers.