View source for Intel corporation (20240111498). Apparatus, Device, Method and Computer Program for Generating Code using an LLM simplified abstract

=Apparatus, Device, Method and Computer Program for Generating Code using an LLM=


==Organization Name==

[[:Category:intel corporation|intel corporation]]


[[Category:intel corporation]]

==Inventor(s)==

[[:Category:Robert Vaughn of Portland OR (US)|Robert Vaughn of Portland OR (US)]][[Category:Robert Vaughn of Portland OR (US)]]

==Apparatus, Device, Method and Computer Program for Generating Code using an LLM - A simplified explanation of the abstract==


This abstract first appeared for US patent application 20240111498 titled 'Apparatus, Device, Method and Computer Program for Generating Code using an LLM

==Simplified Explanation==

The patent application describes an apparatus, device, method, and computer program for generating code for implementing an additional component in a modular application. The system obtains information on the existing application architecture, prompts the user for the desired functionality of the new component, inputs this information into a large language model (LLM), receives code output from the LLM, and provides the code for implementing the additional component based on the LLM output.

* The system obtains information on the existing application architecture, including formal descriptions of functionality and usage of components.
* The user is prompted for the desired functionality of the new component.
* The system inputs the existing architecture information and user prompt into a large language model.
* The LLM generates a portion of the code for implementing the additional component.
* The system provides the generated code for the new component.

== Potential Applications ==
This technology could be applied in software development, specifically in generating code for new components in modular applications.

== Problems Solved ==
This technology streamlines the process of developing new components for modular applications by automating the code generation based on existing architecture and user input.

== Benefits ==
- Faster development of new components
- Improved accuracy in code generation
- Enhanced efficiency in software development processes

== Potential Commercial Applications ==
Automated code generation tools based on this technology could be used by software development companies to speed up their development processes and improve productivity.

== Possible Prior Art ==
One possible prior art could be automated code generation tools that are based on predefined templates rather than large language models.

=== Unanswered Questions ===

=== How does the system ensure the generated code integrates seamlessly with the existing application architecture? ===
The system could include a validation step where the generated code is checked against the existing architecture to ensure compatibility and seamless integration.

=== What measures are in place to handle potential errors or inaccuracies in the code generated by the LLM? ===
The system could implement error-checking mechanisms and provide options for manual intervention in case of inaccuracies or errors in the generated code.


==Original Abstract Submitted==

examples relate to an apparatus, device, method and computer program for generating code. the apparatus is to obtain information on an existing application architecture of a modular application, the information on the existing application architecture comprising, for components of the existing architecture, a formal description of the functionality and usage of the component of the existing architecture, obtain a prompt of a user for generating code for implementing an additional component for the modular application, the prompt comprising a textual description of a desired functionality of the additional component, provide the information on the existing application architecture and the prompt as input for a large language model (llm), obtain an output of the llm, the output comprising a portion of the code for implementing the additional component, and provide the code for implementing the additional component based on the output of the llm.



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