Is Fine-Tuning or Prompt Engineering the Right Approach for AI?
SMRTR summary
Enterprises opt for prompt engineering or fine-tuning in AI development. Prompt engineering is quick and cost-effective for general tasks, while fine-tuning excels with proprietary data. Fine-tuning's popularity is rising due to improved results and easier implementation. The AI development process involves GPU procurement, infrastructure setup, orchestration, and model fine-tuning, allowing organizations to create specialized AI solutions with enhanced accuracy.
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