No-code and AI: why and how
to create no-code
applications using artificial
intelligence: example with
Bubble and OpenAi
The technological world is evolving at a breakneck pace, providing extraordinary opportunities for innovation. Since the meteoric launch of ChatGPT at the end of 2022, the world has been buzzing around generative AI – these computer models capable of creating content (text, images, music, etc.) from simple non-technical indications. The ability of this new technology to read, write and create in a human way has sparked heated debates about its impact. Optimists see a huge opportunity, others predict that AI will eliminate jobs, and pessimists call for a moratorium on development to avoid the very destruction of civilization.
The technological world is evolving at a breakneck pace, providing extraordinary opportunities for innovation. Since the meteoric launch of ChatGPT at the end of 2022, the world has been buzzing around generative AI – these computer models capable of creating content (text, images, music, etc.) from simple non-technical indications. The ability of this new technology to read, write and create in a human way has sparked heated debates about its impact.
The technological world is evolving at a breakneck pace, providing extraordinary opportunities for innovation. Since the meteoric launch of ChatGPT at the end of 2022, the world has been buzzing around generative AI – these computer models capable of creating content (text, images, music, etc.) from simple non-technical indications. The ability of this new technology to read, write and create in a human way has sparked heated debates about its impact. Optimists see a huge opportunity, others predict that AI will eliminate jobs, and pessimists call for a moratorium on development to avoid the very destruction of civilization.
Integrating AI into no-code applications is
now easier than ever
With new AI tools, applications can now process more ambiguous and nuanced input to provide more sophisticated results. After all, software applications have always been input/output machines. However, they have historically been limited to very strict and formal logic in how they translate instructions into actions. But today, these technologies allow computers to process real human language to “understand” its full meaning, including the intent and sentiment of the author or speaker.
Here are some examples of applications built and processed by artificial intelligence:
Jasper AI is a social content writer and SEO, built on ChatGPT artificial intelligence. The app can help you with everything from creative writing to creating a blog post to creating content based on the topics and information you provide to it. Its capabilities don’t stop there, since it can also help you with grammar.
Jasper AI is a social content writer and SEO, built on ChatGPT artificial intelligence. The app can help you with everything from creative writing to creating a blog post to creating content based on the topics and information you provide to it. Its capabilities don’t stop there, since it can also help you with grammar.
Jasper AI is a social content writer and SEO, built on ChatGPT artificial intelligence. The app can help you with everything from creative writing to creating a blog post to creating content based on the topics and information you provide to it. Its capabilities don’t stop there, since it can also help you with grammar.
Integrating AI into no-code applications is
now easier than ever
Bubble, a popular no-code development platform, offers AI capabilities that can be easily integrated into applications. Here are some examples of what you can achieve with AI on Bubble:
- Image recognition: Using pre-trained models, you can create apps that can recognize objects, faces and more.
- Image recognition: Using pre-trained models, you can create apps that can recognize objects, faces and more.
- Image recognition: Using pre-trained models, you can create apps that can recognize objects, faces and more.
- Image recognition: Using pre-trained models, you can create apps that can recognize objects, faces and more.
Integrating AI into no-code applications is
now easier than ever
Bubble, a popular no-code development platform, offers AI capabilities that can be easily integrated into applications. Here are some examples of what you can achieve with AI on Bubble:
- Image recognition: Using pre-trained models, you can create apps that can recognize objects, faces and more.
- Image recognition: Using pre-trained models, you can create apps that can recognize objects, faces and more. The results of the AI strongly depend on the "input" or text that you write to obtain an "outup", response from the AI. You must therefore be sure that your application contains the correct prompt to generate meaningful results. Fortunately, you can usually do manual testing with tools like ChatGPT, trying different prompt wordings until you consistently get the results you want.
- Image recognition: Using pre-trained models, you can create apps that can recognize objects, faces and more.
Integrating AI into no-code applications is
now easier than ever
- Image recognition: Using pre-trained models, you can create apps that can recognize objects, faces and more. The results of the AI strongly depend on the "input" or text that you write to obtain an "outup", response from the AI. You must therefore be sure that your application contains the correct prompt to generate meaningful results. Fortunately, you can usually do manual testing with tools like ChatGPT, trying different prompt wordings until you consistently get the results you want.
The technological world is evolving at a breakneck pace, providing extraordinary opportunities for innovation. Since the meteoric launch of ChatGPT at the end of 2022, the world has been buzzing around generative AI – these computer models capable of creating content (text, images, music, etc.) from simple non-technical indications. The ability of this new technology to read, write and create in a human way has sparked heated debates about its impact. Optimists see a huge opportunity, others predict that AI will eliminate jobs, and pessimists call for a moratorium on development to avoid the very destruction of civilization.
The technological world is evolving at a breakneck pace, providing extraordinary opportunities for innovation. Since the meteoric launch of ChatGPT at the end of 2022, the world has been buzzing around generative AI – these computer models capable of creating content (text, images, music, etc.) from simple non-technical indications. The ability of this new technology to read, write and create in a human way has sparked heated debates about its impact. Optimists see a huge opportunity, others predict that AI will eliminate jobs, and pessimists call for a moratorium on development to avoid the very destruction of civilization.
- Image recognition: Using pre-trained models, you can create apps that can recognize objects, faces and more. The results of the AI strongly depend on the "input" or text that you write to obtain an "outup", response from the AI. You must therefore be sure that your application contains the correct prompt to generate meaningful results. Fortunately, you can usually do manual testing with tools like ChatGPT, trying different prompt wordings until you consistently get the results you want.
Integrating AI into no-code applications is
now easier than ever
The technological world is evolving at a breakneck pace, providing extraordinary opportunities for innovation. Since the meteoric launch of ChatGPT at the end of 2022, the world has been buzzing around generative AI – these computer models capable of creating content (text, images, music, etc.) from simple non-technical indications. The ability of this new technology to read, write and create in a human way has sparked heated debates about its impact. Optimists see a huge opportunity, others predict that AI will eliminate jobs, and pessimists call for a moratorium on development to avoid the very destruction of civilization.
- Image recognition: Using pre-trained models, you can create apps that can recognize objects, faces and more. The results of the AI strongly depend on the "input" or text that you write to obtain an "outup", response from the AI. You must therefore be sure that your application contains the correct prompt to generate meaningful results. Fortunately, you can usually do manual testing with tools like ChatGPT, trying different prompt wordings until you consistently get the results you want.
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