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update pricing for bedrock nova LLM models (#11336)
Co-authored-by: Yuanbo Li <ybalbert@amazon.com>
This commit is contained in:
@@ -46,7 +46,7 @@ parameter_rules:
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zh_Hans: 对于每个后续标记,仅从前 K 个选项中进行采样。使用 top_k 删除长尾低概率响应。
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zh_Hans: 对于每个后续标记,仅从前 K 个选项中进行采样。使用 top_k 删除长尾低概率响应。
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en_US: Only sample from the top K options for each subsequent token. Use top_k to remove long tail low probability responses.
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en_US: Only sample from the top K options for each subsequent token. Use top_k to remove long tail low probability responses.
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pricing:
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pricing:
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input: '0.0008'
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input: '0.00006'
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output: '0.0016'
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output: '0.00024'
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unit: '0.001'
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unit: '0.001'
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currency: USD
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currency: USD
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@@ -46,7 +46,7 @@ parameter_rules:
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zh_Hans: 对于每个后续标记,仅从前 K 个选项中进行采样。使用 top_k 删除长尾低概率响应。
|
zh_Hans: 对于每个后续标记,仅从前 K 个选项中进行采样。使用 top_k 删除长尾低概率响应。
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en_US: Only sample from the top K options for each subsequent token. Use top_k to remove long tail low probability responses.
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en_US: Only sample from the top K options for each subsequent token. Use top_k to remove long tail low probability responses.
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pricing:
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pricing:
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input: '0.0008'
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input: '0.000035'
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output: '0.0016'
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output: '0.00014'
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unit: '0.001'
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unit: '0.001'
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currency: USD
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currency: USD
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@@ -47,6 +47,6 @@ parameter_rules:
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en_US: Only sample from the top K options for each subsequent token. Use top_k to remove long tail low probability responses.
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en_US: Only sample from the top K options for each subsequent token. Use top_k to remove long tail low probability responses.
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pricing:
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pricing:
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input: '0.0008'
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input: '0.0008'
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output: '0.0016'
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output: '0.0032'
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unit: '0.001'
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unit: '0.001'
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currency: USD
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currency: USD
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@@ -46,7 +46,7 @@ parameter_rules:
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zh_Hans: 对于每个后续标记,仅从前 K 个选项中进行采样。使用 top_k 删除长尾低概率响应。
|
zh_Hans: 对于每个后续标记,仅从前 K 个选项中进行采样。使用 top_k 删除长尾低概率响应。
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en_US: Only sample from the top K options for each subsequent token. Use top_k to remove long tail low probability responses.
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en_US: Only sample from the top K options for each subsequent token. Use top_k to remove long tail low probability responses.
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pricing:
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pricing:
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input: '0.0008'
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input: '0.00006'
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output: '0.0016'
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output: '0.00024'
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unit: '0.001'
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unit: '0.001'
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currency: USD
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currency: USD
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@@ -46,7 +46,7 @@ parameter_rules:
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zh_Hans: 对于每个后续标记,仅从前 K 个选项中进行采样。使用 top_k 删除长尾低概率响应。
|
zh_Hans: 对于每个后续标记,仅从前 K 个选项中进行采样。使用 top_k 删除长尾低概率响应。
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en_US: Only sample from the top K options for each subsequent token. Use top_k to remove long tail low probability responses.
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en_US: Only sample from the top K options for each subsequent token. Use top_k to remove long tail low probability responses.
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pricing:
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pricing:
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input: '0.0008'
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input: '0.000035'
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output: '0.0016'
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output: '0.00014'
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unit: '0.001'
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unit: '0.001'
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currency: USD
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currency: USD
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@@ -47,6 +47,6 @@ parameter_rules:
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en_US: Only sample from the top K options for each subsequent token. Use top_k to remove long tail low probability responses.
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en_US: Only sample from the top K options for each subsequent token. Use top_k to remove long tail low probability responses.
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pricing:
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pricing:
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input: '0.0008'
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input: '0.0008'
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output: '0.0016'
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output: '0.0032'
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unit: '0.001'
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unit: '0.001'
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currency: USD
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currency: USD
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