Scalar agent implementation #136
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kongzii
reviewed
Jun 27, 2025
| INSTRUCTIONS: | ||
| * Examine the user's input labeled 'USER_PROMPT'. Focus on the part enclosed in double quotes, which contains the 'market question'. | ||
| * Estimate the 'scalar_value' for the outcome of the market question, which is can be any value between {market_upper_bound} and {market_lower_bound}, but the value can be outside of this range if you think it is more likely. |
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Isn't can be any value between and then can be outside a bit misleading for the LLM?
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No not really during testing agent was actively betting in and out the range - it is more for calibration of the values. I will think about different formulation for this..
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I have changed this to inform model on the start that those values are just for calibration
kongzii
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Jun 28, 2025
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Solves gnosis/prediction-market-agent#908
Depends on gnosis/prediction-market-agent-tooling#738