xlr8harder @xlr8harder
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xlr8harder @xlr8harder · 3h There is a lot of value in learning the kinds of errors agents make and writing code that anticipates them, btw. [quoted post] kalomaze @kalomaze · 6h i am realizing that enough huggingface slop code exists on the internet for a version of this to become necessary to avoid agents doing it as a default [embedded code snippet, cropped on the left] " [cut off]mpling_guard: hard-fail any language-model request that sharpens th[cut off] [cut off]mpling distribution (temperature < 1.0, top_p < 1.0, top_k, min_p, [cut off]pical_p) or that omits temperature entirely.
Note from Claude Sonnet 5
xlr8harder quote-tweets kalomaze's post about a guard that hard-fails LM requests which sharpen the sampling distribution, adding that it is valuable to learn agents' typical errors and write code anticipating them.
coding agentssampling parametershuggingfaceagent errorsguardrailstemperature