Just-In-Time Programming Framework with Large Language Models and Flow-Based Programming

Smart overview of the Invention

The programming system described is a flow-based programming framework that utilizes a library of templates for functional blocks. Users can select these templates through a graphical user interface, which allows them to instantiate specific functional blocks and connect outputs from one block as inputs to another. An AI assistant, implemented as a trained large language model, aids users by recommending potential actions based on historical data and user behavior. This approach streamlines the process by reducing the need for users to manually sift through extensive libraries of block templates.

Functional Components

The system accelerates the development of flow-based programs by providing scripting and visual tools for assembling functional blocks. It features a Composable DataOps Platform, which facilitates complex program creation through a visual methodology. Each block template functions like a traditional programming language function, with defined inputs and outputs. The system assists users in selecting and connecting these blocks to form a flow-based diagram, which is visually represented as a directed graph with data flow edges indicating connections between functional blocks.

AI Assistant

The AI assistant enhances program development by offering automated recommendations for the next steps in building a program. It uses annotated information from previously built programs and user profiles to predict what actions might be required next. This reduces the user's workload by highlighting probable recommendations from a vast library of options. Additionally, users can prompt the AI assistant for specific functions, receiving code snippets that integrate directly into their developing programs.

Just-In-Time Programming

Combining Flow-Based Programming with Large Language Models introduces the concept of "Just-In-Time Programming." This framework supports real-time task automation and algorithm implementation, allowing users to develop algorithms dynamically as requirements evolve. Its cloud-based infrastructure, graphical interface, collaboration tools, and flexibility promote rapid software development for complex tasks and quick adaptation to changing needs.

Integration and Benefits

The integration of Flow-Based Programming with LLMs offers significant advantages in software development efficiency and adaptability. By leveraging AI-driven recommendations and a visual programming approach, users can more effectively manage complex data operations and algorithmic tasks. This synergy not only streamlines program creation but also enhances the ability to rapidly redevelop solutions as project requirements change.