Optimizing A.I. for Accuracy and Cost Effectiveness

Optimizing the use of artificial intelligence (AI) for both accuracy and cost-effectiveness requires more thought than following the general internet hype. Are bigger models really better than good models?

What we are doing faster than ever is processing data using these AI engines. The number one issue is data quality. We need to start with high-quality, clean, and relevant data. As the old phrase goes, Garbage In, Garbage Out (GIGO) and this applies to AI models, just as it has been applicable since the first computer system was developed.

Initially, pay-as-you-go pricing ensures cost-effectiveness as you begin the AI journey.

And most importantly, we will describe, using these understandings, how you can gain real competitive advantage using this tool – AI – by Architecting, Analyzing, Arranging, and Assembling (A 4th) TM an environment with the objective of reducing mistakes (also known as “hallucinations”), and increasing your competitive advantage.

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