system 第二章加入一些文字描述

This commit is contained in:
nowadays0421
2023-06-03 22:57:49 +08:00
parent 7de97525f9
commit 429e4e405c

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@ -1,6 +1,7 @@
{
"cells": [
{
"attachments": {},
"cell_type": "markdown",
"id": "3e71eee8",
"metadata": {},
@ -9,6 +10,7 @@
]
},
{
"attachments": {},
"cell_type": "markdown",
"id": "c7e800b0",
"metadata": {},
@ -92,7 +94,7 @@
},
{
"cell_type": "code",
"execution_count": 5,
"execution_count": 1,
"id": "b8b8f1c7",
"metadata": {},
"outputs": [],
@ -104,10 +106,11 @@
"# from dotenv import load_dotenv, find_dotenv\n",
"# _ = load_dotenv(find_dotenv()) # 读取本地的.env环境文件\n",
"\n",
"openai.api_key = 'sk-xxxxxxxxxxxx' #更换成你自己的key"
"openai.api_key = '***' #更换成你自己的key"
]
},
{
"attachments": {},
"cell_type": "markdown",
"id": "19cf84a8",
"metadata": {},
@ -118,7 +121,7 @@
},
{
"cell_type": "code",
"execution_count": 15,
"execution_count": 2,
"id": "3fda8d03",
"metadata": {},
"outputs": [],
@ -136,6 +139,7 @@
]
},
{
"attachments": {},
"cell_type": "markdown",
"id": "536ad0c2",
"metadata": {},
@ -236,6 +240,19 @@
"![image-2.png](attachment:image-2.png)"
]
},
{
"attachments": {},
"cell_type": "markdown",
"id": "c06944b4",
"metadata": {},
"source": [
"对于英文输入,一个 token 一般对应4个字符或者四分之三个单词对于中文输入一个 token 一般对应一个或半个词。\n",
"\n",
"不同模型有不同的 token 限制,需要注意的是,这里的 token 限制是输入的 prompt 和输出的 completion 的 token 数之和,因此输入的 prompt 越长,能输出的 completion 的上限就越低。\n",
"\n",
"ChatGPT3.5 的 token 上限是 4096。"
]
},
{
"attachments": {
"image.png": {
@ -252,13 +269,23 @@
"![image.png](attachment:image.png)"
]
},
{
"attachments": {},
"cell_type": "markdown",
"id": "ffafb0f1",
"metadata": {},
"source": [
"System 信息用于制定模型的规则,例如设定、回答准则一类的,而 assistant 信息就是具体让模型完成的指令"
]
},
{
"cell_type": "code",
"execution_count": 9,
"execution_count": 3,
"id": "bd009d67",
"metadata": {},
"outputs": [],
"source": [
"# 支持更多参数自定义的封装函数\n",
"def get_completion_from_messages(messages, \n",
" model=\"gpt-3.5-turbo\", \n",
" temperature=0, \n",
@ -274,7 +301,7 @@
},
{
"cell_type": "code",
"execution_count": 10,
"execution_count": 4,
"id": "e09def17",
"metadata": {},
"outputs": [
@ -282,20 +309,25 @@
"name": "stdout",
"output_type": "stream",
"text": [
"在海洋深处有一个小鲸鱼\n",
"它快乐的游啊游,\n",
"它的身体白晃晃\n",
"好像穿着白雪的衣裳。\n",
"在蓝色的海洋深处,\n",
"有一只小鲸鱼嬉闹着。\n",
"它游啊游,欢笑着\n",
"尽情享受自由的感受。\n",
"\n",
"它游来游去,玩得很开心\n",
"偶尔还秀一下游泳技能,\n",
"小鲸鱼是个聪明的孩子\n",
"它让波涛跟着它摇晃。\n",
"它跳啊跃,翻滚着\n",
"好像永远都停不下来。\n",
"它的身体,是那么轻盈\n",
"好像没有任何重量。\n",
"\n",
"快乐的小鲸鱼\n",
"带给海洋欢乐的音符,\n",
"我们也跟着它笑起来\n",
"真是一个美好的夏日午后。\n"
"它的笑声,犹如海浪\n",
"响彻于大海深处。\n",
"它的快乐,也如海浪\n",
"绵延不绝,没有尽头。\n",
"\n",
"啊,这可爱的小鲸鱼,\n",
"让人忍不住想嬉闹。\n",
"让我们跟它一起游,\n",
"在蓝色的海洋里畅游。\n"
]
}
],
@ -364,7 +396,7 @@
},
{
"cell_type": "code",
"execution_count": 2,
"execution_count": 5,
"id": "b0907cac",
"metadata": {},
"outputs": [],
@ -385,8 +417,11 @@
" content = response.choices[0].message[\"content\"]\n",
" \n",
" token_dict = {\n",
"# prompt 对应的 token 数\n",
"'prompt_tokens':response['usage']['prompt_tokens'],\n",
"# completion 对应的 token 数\n",
"'completion_tokens':response['usage']['completion_tokens'],\n",
"# 总共的 token 数\n",
"'total_tokens':response['usage']['total_tokens'],\n",
" }\n",
"\n",
@ -475,7 +510,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.10.9"
"version": "3.10.11"
}
},
"nbformat": 4,