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openai哪個(gè)國(guó)家可以用
大家好!今天讓創(chuàng)意嶺的小編來大家介紹下關(guān)于openai哪個(gè)國(guó)家可以用的問題,以下是小編對(duì)此問題的歸納整理,讓我們一起來看看吧。
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官網(wǎng):https://ai.de1919.com
本文目錄:
一、openai可以登錄幾個(gè)
OpenAI可以登錄多個(gè)網(wǎng)站,包括Facebook、Twitter、Google、GitHub等等。OpenAI的目標(biāo)是幫助用戶更輕松地訪問和使用這些網(wǎng)站,讓用戶可以更快更安全地訪問和使用這些網(wǎng)站。OpenAI還可以幫助用戶更好地管理他們的個(gè)人信息,以及更好地保護(hù)他們的隱私。
二、sms收不到openai驗(yàn)證碼
sms收不到openai驗(yàn)證碼
1、短信平臺(tái)問題
國(guó)際短信驗(yàn)證碼群發(fā),國(guó)際短信對(duì)平臺(tái)線路的要求較高;
如果客戶使用到質(zhì)量差的平臺(tái)線路,就會(huì)造成用戶收不到驗(yàn)證碼的情況。
2、號(hào)碼被列入黑名單
在我們的生活中,經(jīng)常會(huì)收到很多垃圾短信,很多人不想收到垃圾短信,就會(huì)開啟手機(jī)攔截功能。
號(hào)碼就被列入了黑名單,所以用戶會(huì)經(jīng)常出現(xiàn)收不到短信的情況。
如需解決這個(gè)問題,請(qǐng)用戶查看自己的手機(jī)是否設(shè)置了攔截功能。
3、用戶的原因
發(fā)送國(guó)際驗(yàn)證碼對(duì)用戶也是有要求的,用戶在以下4種情況下,都有可能平臺(tái)發(fā)送失誤不能到達(dá)的情況。
(1)手機(jī)停機(jī)
(2)手機(jī)關(guān)機(jī)
(3)網(wǎng)絡(luò)不好
(4)區(qū)域限制等情況
4、發(fā)送內(nèi)容的原因
國(guó)際短信,限制遠(yuǎn)比國(guó)內(nèi)要多很多。出海型企業(yè)在編輯國(guó)際短信內(nèi)容的時(shí)候,很容易忽略短信中是否包含違禁詞。
也有可能與海外的用戶獲取平臺(tái)驗(yàn)證碼次數(shù)超過了限制,導(dǎo)致短信發(fā)送的失敗。
5、網(wǎng)絡(luò)延遲也會(huì)帶來影響
有時(shí),由于網(wǎng)絡(luò)、地理?xiàng)l件等原因,服務(wù)器會(huì)延長(zhǎng)國(guó)際短信驗(yàn)證碼的發(fā)送時(shí)間
三、openai能當(dāng)爬蟲使嗎
你好,可以的,Spinning Up是OpenAI開源的面向初學(xué)者的深度強(qiáng)化學(xué)習(xí)資料,其中列出了105篇深度強(qiáng)化學(xué)習(xí)領(lǐng)域非常經(jīng)典的文章, 見 Spinning Up:
博主使用Python爬蟲自動(dòng)爬取了所有文章,而且爬下來的文章也按照網(wǎng)頁的分類自動(dòng)分類好。
見下載資源:Spinning Up Key Papers
源碼如下:
import os
import time
import urllib.request as url_re
import requests as rq
from bs4 import BeautifulSoup as bf
'''Automatically download all the key papers recommended by OpenAI Spinning Up.
See more info on: https://spinningup.openai.com/en/latest/spinningup/keypapers.html
Dependency:
bs4, lxml
'''
headers = {
'User-Agent':'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/92.0.4515.131 Safari/537.36'
}
spinningup_url = 'https://spinningup.openai.com/en/latest/spinningup/keypapers.html'
paper_id = 1
def download_pdf(pdf_url, pdf_path):
"""Automatically download PDF file from Internet
Args:
pdf_url (str): url of the PDF file to be downloaded
pdf_path (str): save routine of the downloaded PDF file
"""
if os.path.exists(pdf_path): return
try:
with url_re.urlopen(pdf_url) as url:
pdf_data = url.read()
with open(pdf_path, "wb") as f:
f.write(pdf_data)
except: # fix link at [102]
pdf_url = r"https://is.tuebingen.mpg.de/fileadmin/user_upload/files/publications/Neural-Netw-2008-21-682_4867%5b0%5d.pdf"
with url_re.urlopen(pdf_url) as url:
pdf_data = url.read()
with open(pdf_path, "wb") as f:
f.write(pdf_data)
time.sleep(10) # sleep 10 seconds to download next
def download_from_bs4(papers, category_path):
"""Download papers from Spinning Up
Args:
papers (bs4.element.ResultSet): 'a' tags with paper link
category_path (str): root dir of the paper to be downloaded
"""
global paper_id
print("Start to ownload papers from catagory {}...".format(category_path))
for paper in papers:
paper_link = paper['href']
if not paper_link.endswith('.pdf'):
if paper_link[8:13] == 'arxiv':
# paper_link = "https://arxiv.org/abs/1811.02553"
paper_link = paper_link[:18] + 'pdf' + paper_link[21:] + '.pdf' # arxiv link
elif paper_link[8:18] == 'openreview': # openreview link
# paper_link = "https://openreview.net/forum?id=ByG_3s09KX"
paper_link = paper_link[:23] + 'pdf' + paper_link[28:]
elif paper_link[14:18] == 'nips': # neurips link
paper_link = "https://proceedings.neurips.cc/paper/2017/file/a1d7311f2a312426d710e1c617fcbc8c-Paper.pdf"
else: continue
paper_name = '[{}] '.format(paper_id) + paper.string + '.pdf'
if ':' in paper_name:
paper_name = paper_name.replace(':', '_')
if '?' in paper_name:
paper_name = paper_name.replace('?', '')
paper_path = os.path.join(category_path, paper_name)
download_pdf(paper_link, paper_path)
print("Successfully downloaded {}!".format(paper_name))
paper_id += 1
print("Successfully downloaded all the papers from catagory {}!".format(category_path))
def _save_html(html_url, html_path):
"""Save requested HTML files
Args:
html_url (str): url of the HTML page to be saved
html_path (str): save path of HTML file
"""
html_file = rq.get(html_url, headers=headers)
with open(html_path, "w", encoding='utf-8') as h:
h.write(html_file.text)
def download_key_papers(root_dir):
"""Download all the key papers, consistent with the categories listed on the website
Args:
root_dir (str): save path of all the downloaded papers
"""
# 1. Get the html of Spinning Up
spinningup_html = rq.get(spinningup_url, headers=headers)
# 2. Parse the html and get the main category ids
soup = bf(spinningup_html.content, 'lxml')
# _save_html(spinningup_url, 'spinningup.html')
# spinningup_file = open('spinningup.html', 'r', encoding="UTF-8")
# spinningup_handle = spinningup_file.read()
# soup = bf(spinningup_handle, features='lxml')
category_ids = []
categories = soup.find(name='div', attrs={'class': 'section', 'id': 'key-papers-in-deep-rl'}).\
find_all(name='div', attrs={'class': 'section'}, recursive=False)
for category in categories:
category_ids.append(category['id'])
# 3. Get all the categories and make corresponding dirs
category_dirs = []
if not os.path.exitis(root_dir):
os.makedirs(root_dir)
for category in soup.find_all(name='h4'):
category_name = list(category.children)[0].string
if ':' in category_name: # replace ':' with '_' to get valid dir name
category_name = category_name.replace(':', '_')
category_path = os.path.join(root_dir, category_name)
category_dirs.append(category_path)
if not os.path.exists(category_path):
os.makedirs(category_path)
# 4. Start to download all the papers
print("Start to download key papers...")
for i in range(len(category_ids)):
category_path = category_dirs[i]
category_id = category_ids[i]
content = soup.find(name='div', attrs={'class': 'section', 'id': category_id})
inner_categories = content.find_all('div')
if inner_categories != []:
for category in inner_categories:
category_id = category['id']
inner_category = category.h4.text[:-1]
inner_category_path = os.path.join(category_path, inner_category)
if not os.path.exists(inner_category_path):
os.makedirs(inner_category_path)
content = soup.find(name='div', attrs={'class': 'section', 'id': category_id})
papers = content.find_all(name='a',attrs={'class': 'reference external'})
download_from_bs4(papers, inner_category_path)
else:
papers = content.find_all(name='a',attrs={'class': 'reference external'})
download_from_bs4(papers, category_path)
print("Download Complete!")
if __name__ == "__main__":
root_dir = "key-papers"
download_key_papers(root_dir)
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四、一個(gè)openai賬號(hào)可以開幾個(gè)apikey
一個(gè)。openai賬號(hào)享受一人一號(hào),每個(gè)號(hào)碼都帶有密鑰。賬號(hào)是數(shù)字時(shí)代的代表,就是每個(gè)人在特定的項(xiàng)目中所代表自己的一些數(shù)字等。
以上就是關(guān)于openai哪個(gè)國(guó)家可以用相關(guān)問題的回答。希望能幫到你,如有更多相關(guān)問題,您也可以聯(lián)系我們的客服進(jìn)行咨詢,客服也會(huì)為您講解更多精彩的知識(shí)和內(nèi)容。
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