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Microsoft shades Gemini with GPT-4 boosted by Medprompt

Microsoft’s new Medprompt technique boosts GPT-4 to edge out Google’s Gemini Ultra on MMLU benchmark tests by a narrow margin. The technique involves dynamic few-shot learning, self-generated chain of thought prompting, and choice shuffle ensembling, proving older AI models can surpass expectations when prompted cleverly. The approach offers exciting possibilities but may require additional processing power.

 Microsoft shades Gemini with GPT-4 boosted by Medprompt

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Microsoft shades Gemini with GPT-4 boosted by Medprompt

Earlier this month, Microsoft’s new prompting technique helped GPT-4 beat Google’s Gemini model on the MMLU benchmark tests, regaining the top spot with only a slight margin. This demonstrates that with proper prompting, older AI models can outperform newer ones.

Medprompt

Microsoft’s Medprompt project utilizes clever prompting techniques to guide AI models in providing better-aligned outputs. The combination of prompting techniques, including Dynamic Few-Shot Learning, Self-Generated Chain of Thought, and Choice Shuffle Ensembling, has proven to be effective in improving the performance of GPT-4 on a range of tasks, including specialist medical tests and generalist benchmarks.

Medprompt improvements on MedQA test performance. Microsoft

How does Medprompt work?

Medprompt leverages three main techniques:

  • Dynamic Few-Shot Learning (DFSL): This involves providing the AI model with a few examples relevant to the task at hand, allowing it to make more specific and accurate predictions.
  • Self-Generated Chain of Thought (CoT): By guiding the model’s chain of thought through careful prompting, the results are significantly improved.
  • Choice Shuffle Ensembling: This technique addresses positional bias in multiple-choice questions by shuffling answer options and selecting the most consistently chosen response.

Combining these prompt techniques has given Microsoft a competitive edge, highlighting the potential for older AI models to achieve impressive performance improvements through strategic prompting.

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Vladimir Dyachkov, Ph.D
Editor-in-Chief itinai.com

I believe that AI is only as powerful as the human insight guiding it.

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