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Evaluating AI Models, Unlocking Unstructured Data, and Achieving Reliability w/ Ben Kus
May 23, 2024
52:35
Snipd AI
Tech expert and Box CTO, Ben Kus, discusses AI's impact on productivity and decision-making in organizations, strategies for ensuring reliability, challenges of AI change management, evaluating AI quality, unlocking unstructured data, and the potential of AI agents for user experience.
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Quick takeaways
- Customizing prompts per AI model is crucial for accurate outputs.
- Testing, iterating, and evaluating AI strategies are vital for successful AI product development.
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Challenges of Customizing Prompts per Model
In the podcast episode, the challenges of dealing with multiple AI models were discussed. Customizing prompts per model was highlighted as a crucial task, as even similar-looking models with similar outputs have different parameter needs and prompts. The speaker emphasized the importance of managing version history and control over prompts to ensure accurate outputs. An example illustrated how adding or removing a period in a prompt could significantly impact the model's response, indicating the need for precise customization.
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