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update gpt

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Ivan Office
2023-09-22 20:47:18 +08:00
parent 6ef2c27b4a
commit 8db7fabe56
11 changed files with 91 additions and 100 deletions
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6
app_chatgpt/models/ai_robot.py
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@@ -52,7 +52,7 @@ GPT-3 A set of models that can understand and generate natural language
# 3. top_p：0-1，语言连贯性，与temperature有些类似，也是控制回复的“新颖度”。不同的是，top_p控制的是回复中概率最高的几个可能性的累计概率之和，值越小，生成的回复越保守，值越大，生成的回复越新颖。
# 4. frequency_penalty：-2~2，用于控制聊天机器人回复中出现频率过高的词汇的惩罚程度。聊天机器人会尝试避免在回复中使用频率较高的词汇，以提高回复的多样性和新颖度。
# 5. presence_penalty：-2~2与frequency_penalty相对，用于控制聊天机器人回复中出现频率较低的词汇的惩罚程度。聊天机器人会尝试在回复中使用频率较低的词汇，以提高回复的多样性和新颖度。
max_tokens = fields.Integer('Max response', default=600,
max_tokens = fields.Integer('Max Response', default=600,
help="""
Set a limit on the number of tokens per model response.
The API supports a maximum of 4000 tokens shared between the prompt
@@ -66,7 +66,7 @@ GPT-3 A set of models that can understand and generate natural language
Increasing the temperature will result in more unexpected or creative responses.
Try adjusting temperature or Top P but not both.
""")
top_p = fields.Float('Top probabilities', default=0.6,
top_p = fields.Float('Top Probabilities', default=0.6,
help="""
Similar to temperature, this controls randomness but uses a different method.
Lowering Top P will narrow the model’s token selection to likelier tokens.
@@ -74,7 +74,7 @@ GPT-3 A set of models that can understand and generate natural language
Try adjusting temperature or Top P but not both
""")
# 避免使用常用词
frequency_penalty = fields.Float('Frequency penalty', default=1,
frequency_penalty = fields.Float('Frequency Penalty', default=1,
help="""
Reduce the chance of repeating a token proportionally based on how often it has appeared in the text so far.
This decreases the likelihood of repeating the exact same text in a response.