First, give conclusions that can be used for decision-making
It is only when it is proved in the same set of independent tasks that these methods remain unattainable and that the enterprise has sufficient, legitimate, unified calibrated training data and long-term modelling capability, that fine-tuning can be of value.
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.
Establish manual baselines and independent real task sets.
Validation Key Dependence
Test mature models, hint rules, RAGs and tool routes in turn.
Development of assessable outcomes
Only limited fine-tuning experiments for the design of stabilization gaps.
Make sure you decide the next step with the real results.
Compare quality, serious errors, delays, costs and maintenance responsibilities.
How do you understand it in the actual business?
The contract assistant is not aware of the latest enterprise system, and should prioritize synchronization and use RAG references rather than fine-tuning models to remember documents. A large number of contract terms are still unstable under clear indications and knowledge conditions, and the enterprise has a consistent sample of labels.
The easiest pit to step on.
All effects are attributable to the lack of exclusive models.
We fine-tune the same data with a few duplicate samples and then we get the same data.
Ignore model licences, training data authorizations and version upgrades
How should we end up receiving and confirming?
The route report should use the same stand-alone task set for comparison baselines, RAG, rules and fine-tuning programmes to record serious errors, manual modifications, delays, costs and transportation differences; and fine-tuning should also deliver data descriptions, training configurations, model licences and regression methods.
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.