Foundation Model Pipeline Planning for Efficient Task Orchestration

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Solution Overview

Problem

Enterprises face challenges in optimizing the use of diverse foundation models due to their varying strengths and weaknesses, leading to inefficiencies and significant resource wastage in integrating these models into enterprise ecosystems, without standardized governance or common standards for selection.

Innovation Solution

A method is introduced to generate a foundation model pipeline by selecting a set of models based on their characteristics and user preferences, using a task planner to identify suitable models, a scheduler to estimate efficiency scores, and an optimizer to configure and execute tasks efficiently.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If enterprises integrate multiple diverse foundation models into their ecosystems, then the capability and functionality of task execution is improved, but resource wastage and operational inefficiency increases due to lack of standardized governance and selection criteria

Engineering Contradiction:

Improvefunctionality of task executionVSAvoidresource wastage

Core Design Contradiction:

Adaptability or versatilityVSLoss of energy

Solution Approach 1:

The system changes the parameter of model selection by introducing efficiency scores and compatibility metrics. The orchestrator evaluates foundation models based on task-specific parameters such as efficiency, compatibility, and resource consumption, dynamically selecting optimal models for each task rather than using a fixed or random selection approach.

Inventive Principle:

Principle #35Parameter changes

Solution Approach 2:

The model selection process is made dynamic through the orchestrator that continuously evaluates task requirements and selects appropriate foundation models in real-time. The system adapts its model selection based on changing task conditions, efficiency scores, and resource availability, rather than using static pre-configured model assignments.

Inventive Principle:

Principle #15Dynamics

2Adaptability or versatility

If enterprises integrate multiple diverse foundation models into their ecosystems, then the capability and functionality of task execution is improved, but operational inefficiency increases due to lack of standardized governance and selection criteria

Engineering Contradiction:

Improvefunctionality of task executionVSAvoidoperational efficiency

Core Design Contradiction:

Adaptability or versatilityVSProductivity

Solution Approach 1:

The orchestrator implements a feedback mechanism by evaluating efficiency scores for each task-model combination and using this information to make informed selection decisions. The system learns from past task executions and adjusts its model selection strategy based on observed performance metrics and resource consumption patterns.

Inventive Principle:

Principle #23Feedback

Solution Approach 2:

The system introduces new evaluation parameters including efficiency scores, compatibility metrics, and resource consumption measurements. These parameters enable standardized comparison and selection of foundation models based on objective criteria rather than ad-hoc decisions, improving operational efficiency.

Inventive Principle:

Principle #35Parameter changes

3Adaptability or versatility

If foundation models are selected without standardized criteria, then model diversity and task coverage is improved, but selection complexity and governance difficulty increases

Engineering Contradiction:

Improvetask coverageVSAvoidselection complexity

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The orchestrator acts as an intermediary between task requirements and foundation model selection. It mediates the complexity by introducing standardized evaluation protocols and efficiency scoring mechanisms that simplify the selection process while maintaining comprehensive task coverage through systematic model assessment.

Inventive Principle:

Principle #24Intermediary (Mediator)

4Adaptability or versatility

If diverse foundation models are integrated without optimization, then task capability is improved, but resource consumption and cost increases

Engineering Contradiction:

Improvetask capabilityVSAvoidresource consumption

Core Design Contradiction:

Adaptability or versatilityVSUse of energy by moving object

Solution Approach 1:

The system optimizes resource consumption by changing the selection parameter from random or static model assignment to dynamic selection based on efficiency scores and resource consumption metrics. The orchestrator evaluates and selects models that minimize resource usage while maintaining task capability requirements.

Inventive Principle:

Principle #35Parameter changes

Data Source

PatentUS20260065177A1Model pipeline generation for task management

Publication Date: 2026.03.05 ACCENTURE GLOBAL SOLUTIONS LTD

AI summary

Method, system, and computer-readable storage media for generating a foundation model pipeline including a set of foundation models for completion of a plurality of tasks. Each task of the plurality of tasks has a set of pre-conditions and a set of post-conditions. Based on the set of pre-conditions and the set of post-conditions, a set of possible plans for processing the plurality of tasks is generated. For each plan of the set of possible plans, the set of foundation models from a plurality of foundation models is identified for performing each task of the plurality of tasks according to the respective plan. Further, an efficiency score is estimated for each plan to perform the plurality of tasks according to the plan. Based on the estimated efficiency score of each plan, the set of foundation models is selected for the plurality of tasks.