Row 19155

Row ID: 19155 | Dataset Entry | Axioma AXP Content Repository

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What metric are you using and how do you define “nowhere near”? The different models can be stronger in certain areas. They tend to fall behind in overall scores. I wouldn’t necessarily say they’re worlds different, though. All these models are somewhere between gpt-4 and gpt-3.5 in general ratings, for 0-5% the cost, which is often worth the trade off.

FieldValue
text What metric are you using and how do you define “nowhere near”? The different models can be stronger in certain areas. They tend to fall behind in overall scores. I wouldn’t necessarily say they’re worlds different, though. All these models are somewhere between gpt-4 and gpt-3.5 in general ratings, for 0-5% the cost, which is often worth the trade off.
label r/openai
dataType comment
communityName r/OpenAI
datetime 2024-05-21
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Raw Record

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  "text": "What metric are you using and how do you define “nowhere near”? The different models can be stronger in certain areas. They tend to fall behind in overall scores. I wouldn’t necessarily say they’re worlds different, though. All these models are somewhere between gpt-4 and gpt-3.5 in general ratings, for 0-5% the cost, which is often worth the trade off.",
  "label": "r/openai",
  "dataType": "comment",
  "communityName": "r/OpenAI",
  "datetime": "2024-05-21",
  "username_encoded": "Z0FBQUFBQm5LakxfYjU0UER0V2VNd0pYdjVXdmZUc1F6R1NqME1tR0JPTGxpSXlEbFZzVkdqT2t2YVQxMjVIT3lSVDRhSFJ1X19EdWFQdkg1a0dPbXVEUkdUVXhBN3lCbFE9PQ==",
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}
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