Optimized FM Deployment

The objective is:

Balance performance, cost, latency, and resource requirements.

Do not automatically deploy the largest model.

A smaller model may be enough for simple tasks.

Example:

Simple classification
       ↓
Small model

Complex reasoning
       ↓
Larger model

This can reduce:

• cost
• latency
• resource usage

Model cascading means using different models depending on the task.

                 Request
                    ↓
              Small Model
              /          \
          Easy            Hard
           ↓                ↓
       Final Answer      Large Model
                              ↓
                         Final Answer

This is especially useful when most requests are simple.

90% routine requests → smaller/cheaper model
10% difficult requests → larger model

This can optimize overall cost while preserving quality for difficult requests.

2.3 — Design and Implement Enterprise Integration Architectures

Now the AI system must connect with the existing enterprise.

Real companies already have:

• CRM systems
• ERP systems
• databases
• legacy applications
• internal APIs
• identity systems
• on-premises infrastructure
• cloud workloads

The AI system must integrate with them safely.