Ready for comparison
Compare using the same tasks and identified data and run versions. Results are tied to the evaluation set.
Platform module
Model Adaptation
Prepare evaluation and training data from verified examples. Compare changes on consistent tasks and track model versions.
Model evaluation and adaptation
- Example selection and data versions
- Reference evaluation sets
- Prompt and model comparisons
- Adaptation and controlled release
Scope
Its role in the system.
Inside the application
Application workflow
Selected use cases, source information and operational outputs.
Example preparation
Examples identify their source, task and reference behavior. Data versions make the training or evaluation inputs traceable.
Model AdaptationScenario / 01
Interface conceptSchematic example
Example preparation
Structure definitionDATASET
1inputSource
2contextTask
3reviewReference answer
4outputData version
Conceptual field mapping, not executable code.
Decision boundary
Source access, action scope and human review are configured for the application.
- Validated sources
- Tasks and reference behavior
OutputVersioned training or evaluation examples
Comparison design
Model changes are evaluated for field accuracy, tool use, error types and execution time. This view shows criteria, not measured results.
Model AdaptationScenario / 02
Interface conceptSchematic example
Comparison design
Dimensions to evaluate
No result data01Field accuracy
02Tool use
03Error type
04Execution time
Shows comparison criteria. Numerical charts require verified data and a defined method.
Decision boundary
Source access, action scope and human review are configured for the application.
- Model or prompt versions
- Shared evaluation tasks
OutputComparison report linked to tasks and versions
Version transition
Deployment decisions rely on an evaluated version and acceptance criteria. Returning to the prior version is part of the operating plan.
Model AdaptationScenario / 03
Interface conceptSchematic example
Version transition
Organization boundary
Evaluated model
Acceptance condition
Access and ownership
Deployment decision
Rollback
Decision boundary
Source access, action scope and human review are configured for the application.
- Evaluation report
- Acceptance criteria and rollback plan
OutputApproved version decision
01 / INPUT
Validated examples and tasks
Source identity and access scope remain part of the work.
02 / PROCESS
Model and prompt comparison
The module operates within the configured application and control boundaries.
03 / OUTPUT
Evaluated version decision
The next step uses the result with its source and execution context.
Control design
Progress, exceptions and decisions.
Reference behavior for implementation; each deployment needs its own configuration and verification.
Insufficient evidence
Incomplete evaluation or inconsistent examples do not justify a version decision. Isolate tasks needing review.
Version decision
Make deployment decisions alongside acceptance criteria and a plan to return to the previous version.
01Start with examples
Evaluation records need known sources and validation outcomes. Difficult examples and common tasks are considered separately.
02Compare on the same tasks
Model and prompt changes are compared on field accuracy, tool use, errors and processing time. Measurements retain dataset and run versions.
03Controlled version changes
Evaluation informs release decisions. Model, prompt and tool versions help trace change and support rollback. Ayar is the related local research effort.
Technical operating model
Understanding the effect of a version change
A few successful examples do not establish that a new model is better. Its effect becomes meaningful when evaluation data, task definitions and operating conditions are comparable. Model Adaptation connects example selection, comparison and release decisions in that context.
Component relationship / schematic
Dataset and provenance
Establish validation status and permitted use of examples.
Comparison run
Review field accuracy, tool selection, error type and time together.
Release and rollback decision
Record model, prompt and tool versions with the outcome.
Components and operating approach
Understanding the effect of a version change
Select a topic to explore the relationships between information, responsibility and delivery.
01
Dataset and provenance
Establish validation status and permitted use of examples.
01Dataset and provenance
02Comparison run
03Release and rollback decision
Connected area of work
Comparison run
02
Comparison run
Review field accuracy, tool selection, error type and time together.
01Dataset and provenance
02Comparison run
03Release and rollback decision
Connected area of work
Release and rollback decision
03
Release and rollback decision
Record model, prompt and tool versions with the outcome.
01Dataset and provenance
02Comparison run
03Release and rollback decision
Connected area of work
Dataset and provenance
An operating-model illustration, not live operations or measured performance results.
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