A Structured Approach to Selecting AI Models for Business-Critical Applications
Confidently select reliable, cost-effective AI models for critical applications using a clear research, shortlist, evaluate framework.
Selecting an AI model for a business-critical use case requires more than just chasing benchmarks or hype—it demands a structured, thoughtful process. This practical framework walks through three key phases: Research, to define your needs and map the model landscape; Shortlist, to identify promising candidates based on capability, latency, cost, context size, privacy, and deployment needs; and Evaluate, to run hands-on tests and choose the right fit. It also outlines how to assess general-purpose proprietary models, leverage cloud platform integrations, and account for organisational constraints. The goal is to make model selection a repeatable, informed decision process that aligns with real-world demands.
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ai.intellectronica.net/structured-approach-to-selecting-ai-models
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