AI & automation · Guide

How to choose an AI model

Choose a model using tasks representative of your business. One successful demonstration does not establish reliability for daily use.

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SAMA TECHLY / KNOWLEDGE

What matters

Quality

Build examples and scoring criteria. Include languages, formats and ambiguous cases actually encountered.

Cost and latency

Measure response time and complete-task cost. Unit pricing does not capture required retries and retrieval.

Constraints

Check data, hosting, available tools and provider portability. Plan reevaluation when versions change.

Check in your context

Prepare the next step

A real task example and its exceptions
Current tools and available access
Permitted data and the role of human review
A baseline metric to assess outcomes

An explicit scope, documented rules and a validation protocol. Access and responsibilities are defined before launch.

SAMA / ANSWERS

Essential questions

How should I use this guide?

Apply the criteria to your situation and note assumptions to verify. Technical choices and costs need confirmation against your actual scope.

What should I prepare for a first conversation?

Your objective, a representative example and known constraints are enough to start. Sensitive documents or access are reviewed later within an appropriate framework.

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YOUR NEXT CHAPTER

Let’s scope your project.

An idea, a process to improve, visibility to build. Let’s start with your objective.

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