Raw LLM Responses

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Comment
Usually it takes loads of refinement and tuning a model until a cnn passes some established techniques. I think he meant that if you slap some old ml technique you end up with a similar result The model being a cnn, rnn or any other fancy model might be useful to scrap those 0.5% f1 of edge cases Mind that I'm not belittling cnns, they're amazingly useful models and that's why I research them. I'm just saying that the guy has a point in saying that about random forest
reddit Cross-Cultural 1577928463.0 ♥ 3
Coding Result
DimensionValue
Responsibilitynone
Reasoningunclear
Policyunclear
Emotionapproval
Coded at2026-04-25T08:33:43.502452
Raw LLM Response
[ {"id":"rdc_fcstcbc","responsibility":"none","reasoning":"unclear","policy":"unclear","emotion":"indifference"}, {"id":"rdc_fcszmr7","responsibility":"none","reasoning":"unclear","policy":"unclear","emotion":"approval"}, {"id":"rdc_fcsugvl","responsibility":"none","reasoning":"unclear","policy":"unclear","emotion":"mixed"}, {"id":"rdc_fcsw51h","responsibility":"none","reasoning":"unclear","policy":"unclear","emotion":"indifference"}, {"id":"rdc_fcsyqdo","responsibility":"none","reasoning":"unclear","policy":"unclear","emotion":"approval"} ]