Artificial Intelligence (AI) has revolutionized technology, creating endless possibilities in various industries. However, one challenge with AI is the size limitation of prompts which range from 50 to 16,000. This limitation has made it difficult to apply AI to traditional software development, as the code is often too extensive for AI to digest. MarsX has developed a solution to this problem by creating an abstraction layer using microapps.
Microapp AI Models
Microapps are reusable and connectable components that encapsulate well-defined features and functionality used across various projects. Each microapp is powered by its AI model, allowing developers to interact with the microapp through natural language conversation. Developers ask the AI questions about how the microapp works, request changes or ask for new features to be added.
Microapps may be nested within one another, creating a hierarchical structure that allows developers to build applications of any size. When a developer interacts with a parent microapp, the AI model communicates with its child microapps and their AI models, creating a seamless integration that allows for a more flexible development process.
This ensures that the AI model is fine-tuned and knows all the usages of the microapp. The AI model learns from all the usages of the microapp and suggests better ways to use it than a developer could come up with on their own. This aggregated knowledge on how everybody is using the microapp is improving the overall development process.
Learn more about MarsX microapps - What is Microapp
Token Limitation and Scalability
To overcome the token size limitation of GPT AI models, MarsX ensures that each microapp is small enough to fit within the token limit. This allows developers to create large applications by combining multiple microapps without exceeding the token limit. The MarsX IDE and engine are the development environment and underlying platform powering MarsX. Both the IDE and engine are built using MarsX itself, demonstrating the platform's flexibility and extensibility.
By using MarsX's approach, developers focus on the business logic of their applications rather than worrying about the size of the AI model. Developers use the MarsX platform to develop applications faster and better by leveraging the benefits of AI without the limitations of traditional software development.
The MarsX platform is also highly scalable. As more developers use the platform, the AI models become more fine-tuned, making the platform even more efficient. The microapps may also be reused in other projects, saving time and reducing the complexity of future projects.
Advantages of Mars AI
- Overcoming token size limitation: Each microapp in MarsX is small enough to fit within the token limit, allowing developers to build large and complex applications by combining multiple microapps without exceeding the limit.
- Accessibility: Mars AI's use of microapps and AI models make it easier for developers to build complex applications without requiring extensive coding knowledge.
- Hierarchical structure: Mars AI's approach to microapp nesting creates a hierarchical structure that enables the building of applications of any size.
- Communication between microapps: The AI model of a parent microapp in Mars AI communicates with its child microapps and their AI models, making it easier to build complex applications.
- Scalability: Breaking down applications into microapps allows developers to easily scale their applications up or down depending on their needs.
- Using pre-built microapps and AI models in Mars AI allows developers to focus on creating value-added components for their applications, freeing up time and resources to innovate and improve their projects.
Conclusion
The MarsX platform architecture has changed the development process by creating an abstraction layer using microapps. The use of microapps with their AI models allows developers to create more efficient and flexible applications. When working with MarsX microapps, developers can also utilize tools like an AI Software Cost Estimator to accurately project the costs associated with building and scaling their AI-driven applications. The platform is highly scalable and used to develop applications faster and better than traditional software development methods.
