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### Motivation
Many LLM's are prone to repetition in multi-turn conversations. So, supporting a `repetition_penalty` parameter is crucial for quality.
### Related resources
_No response_
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DRY is a modern repetition penalty that is superior to the standard frequency and presence penalties at preventing repetition, while having virtually none of their negative effects on language quality…
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### Description
Today in the game I came across a group of 4 Ukrainians. they.after.saw.that I write in Russian, they sent 4 complaints against me simply because I am Russian. without having any basi…
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The weights of penalty meta tests (and probably also code checks) are counted towards the total number of meta tests in the "meta tests" section (the "X/Y passed" label). They shouldn't be counted, as…
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Our shootout performance at the robocup 2023 competition ... leaves room for improvement.
The focus here is the defending capabilities of the robot, especially jumping in the right direction at the …
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@nikhilwoodruff, FYI @martinholmer
Reminder that we'll want to start imposing a weight-deviation penalty in the reweighting algorithm. My last successful run of make data, using current master, ha…
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Description
BikeWatch is a web application that analyzes images from cloud storage to identify the number of riders and check for helmet usage. If violations are detected, it captures the number plat…
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ChatGPT is providing settings to have more control over the execution of the promt.
Maybe it is possible to make these settings available per promt-
With these settings, you can control:
1. **Tem…
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We currently update penalties as follows:
auto const diff = params.targetFeasible - feasPct;
if (-0.05 < diff && diff < 0.05) // allow some margins on the difference
return pen…
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The penalty functions (e.g., `add_boundary_penalties()`, `add_connectivity_penalties()`, etc) in prioritizr are a bit annoying to use. This is because the trade-off scaling parameter (i.e., `penalty`,…