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selvaprakash/ai-placebo-differential: A Framework for Evaluating the Impact of AI Applications Utilizing LLMs

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Unlock the True Value of AI Applications: The AI Placebo Differential Framework

In today’s AI landscape, many question, “Can’t ChatGPT do this directly?” This insightful framework provides a structured answer by highlighting the unique value AI applications offer over raw models like ChatGPT.

Key Insights:

  • Measurable Differences: Metrics assess outputs on a 1-5 scale, focusing on:
    • Accuracy
    • Usability
    • Reliability
    • Agentic Chain Quality
    • Token Efficiency
  • Invisible Work: AI applications handle contextual input, structuring prompts, and managing complexity so users don’t have to.

Example in Action: A legal AI app enhances accuracy through domain-specific insights, outperforming generic models.

This framework not only clarifies the gaps but quantifies the ‘Placebo Differential,’ showcasing how innovative applications deliver superior results efficiently.

🤝 Interested in enhancing your AI projects? Explore the full framework, share your thoughts, and join the conversation!

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