First, give conclusions that can be used for decision-making
The AI application should use a structured contract and validate the application layer to reduce the binding of unique suppliers. The migration costs are higher when relying on exclusive fine-tuning, vector banks or Agent platforms.
What conditions need to be identified before judgement is made?
The same question may have different answers under different business, data and project phases. It is suggested that the following conditions be checked and that the common findings on the web be incorporated into their own projects.
Suggested order of advance
First, we'll be clear about the target and the border.
The inventory model is linked to reliance, configuration, data and proprietary capabilities.
Validation Key Dependence
Access to candidate models with a unified interface and run the same assessment set.
Development of assessable outcomes
Comparison of effects, delays, costs, safety and unusual behaviour.
Make sure you decide the next step with the real results.
Greyscale switch, and retain back and calibration monitoring thresholds.
How do you understand it in the actual business?
The document extraction system relies on fixed JSON fields, and the new model, if exported, will cause a failure downstream if it is additional. The suitable layer should be bound and the structure verified, and the test or transfer of labour should fail. The example does not represent the performance of a particular client, and the actual conclusion needs to be verified in conjunction with the enterprise’s own business volume, sample, system and liability boundary.
The easiest pit to step on.
Business code is scattered to call a model API
Only show the answer, no test tools and anomalies.
Unidentified calibration of data and log export before migration
How should we end up receiving and confirming?
The migration acceptance should be based on the same data set as compared success, serious errors, delays, unit costs, privileges and availability, and the greyscale, refund, billing and old data deletion confirmation.
When preparing to communicate with suppliers or internal teams, it is recommended that current processes, representative samples, existing systems, planning time and budget levels be brought. First, the unknown items are clearly marked, and then the decision is made to use diagnostics, PoC, fixed-range projects or ongoing research and development, which is usually more reliable than a direct demand for a price and duration without borders.