Intel corporation (20240231893). AI-ASSISTED CONTEXT-AWARE PIPELINE CREATION simplified abstract
Contents
AI-ASSISTED CONTEXT-AWARE PIPELINE CREATION
Organization Name
Inventor(s)
Richard Chuang of Chandler AZ (US)
AI-ASSISTED CONTEXT-AWARE PIPELINE CREATION - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240231893 titled 'AI-ASSISTED CONTEXT-AWARE PIPELINE CREATION
- Simplified Explanation:**
This patent application describes techniques for using an AI-assisted pipeline copilot to enhance artificial intelligence (AI) pipelines. The copilot analyzes pipeline information provided by the user, identifies key words, and recommends the next task component to add to the AI pipeline based on neural network models.
- Key Features and Innovation:**
- AI-assisted pipeline copilot for enhancing AI pipelines - Analysis of pipeline information and identification of key words - Recommendation of next task component based on neural network models - Inference of connections between recommended task and existing pipeline - Provision of recommendations to the user through a graphical user interface
- Potential Applications:**
- Automation of AI pipeline development - Optimization of AI workflows - Enhanced efficiency in AI model building
- Problems Solved:**
- Streamlining the process of building AI pipelines - Improving the accuracy of task component selection - Enhancing user experience in AI pipeline development
- Benefits:**
- Faster development of AI pipelines - Improved decision-making in adding task components - Enhanced user interaction with AI systems
- Commercial Applications:**
- AI software development companies - Data science teams in various industries - Research institutions focusing on AI technology
- Questions about AI-assisted Pipeline Copilot:**
1. How does the AI-assisted pipeline copilot improve the efficiency of AI pipeline development? 2. What are the key factors considered by the neural network models in recommending the next task component for the AI pipeline?
Original Abstract Submitted
ai-assisted pipeline copilot techniques are described herein. in one example, a workflow method using an ai-assisted pipeline copilot involves receiving pipeline information from a user for an artificial intelligence (ai) pipeline and identifying key words in the pipeline information. a recommended next task component to add to the ai pipeline is then determined using a neural network model based on: a mapping of the key words to ai pipeline stages and one or more previous task components added to the ai pipeline. connections between the recommended next task and the existing pipeline can also be inferred with a second neural network model. the recommended next task components and connections can then be provided to the user (e.g., with a graphical user interface).
