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Improving Uniformity in GPT Column Responses for Industry Classification | Clay

Improving Uniformity in GPT Column Responses for Industry Classification

·Dec 03, 2024 08:56 AM·

Hey Team! Any ideas on how to get a more uniform response in a GPT column? I want to assign industries to companies and get uniformly classified industries output. Currently I get different outputs for “metalworkers” per cell “suppliers”, “sheet metal workers” etc. see screenshot

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You can use our Claygent action to create consistent industry classifications based on your custom-defined categories.To optimize your GPT responses for industry classification: 1. Use JSON Mode in your GPT prompt by enabling "Return as JSON Object" 2. Define specific column outputs to structure the response 3. Set a lower creativity level (temperature) - this will make responses more consistent and predictable 4. Be very explicit in your prompt about the exact format and categories you want returnedFor metalworkers specifically, create a clear set of categories in your prompt with specific criteria for classification. This will help ensure uniform responses across your dataset. Sources: Example Salesforce workflows ChatGPT: Generate text with OpenAI/GPT
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Hi Philip S.! This thread was recently closed by our Support team. If you have a moment, please share your feedback: