IPIPGO ip proxy Training Large Language Models: Proxy IP Training Model Applications

Training Large Language Models: Proxy IP Training Model Applications

Why do I need a proxy IP for large model training? Engineers who are involved in data collection know that training large models is like raising a huge beast, and you have to feed it with a huge amount of data. However, many websites block IPs directly when they see high-frequency visits, so proxy IPs are your cloak of invisibility. With ipipgo's residential proxy, every request is like changing ...

Training Large Language Models: Proxy IP Training Model Applications

Why do I need a proxy IP for big model training?

Engineers engaged in data collection understand that training a large model is like raising a huge beast, you have to feed a huge amount of data. However, many websites block IP directly when they see high-frequency visits, and proxy IP is your cloak of invisibility at this time. With ipipgo's residential proxy, each request is like a new suit to knock on the door, and the success rate of data collection is directly doubled.

Let's take a real case: when an AI company trained a multilingual model, it used ordinary IP to collect overseas social media data, and it was blocked just after running for half an hour. After switching to ipipgo's dynamic residential agent, it collected data for three consecutive days without triggering wind control. To put it bluntly.Proxy IPs are the life preserver of data collectionThe

Which agent is the most cost-effective to use for training models?

There are various types of agents on the market, let's go directly to the dry comparison:

typology Applicable Scenarios ipipgo packages
Dynamic Residential General Data Capture 7.67 Yuan/GB
Enterprise Dynamics High Frequency Data Acquisition 9.47 Yuan/GB
Static homes Long-term stabilization needs 35RMB/IP

Beginners are advised to choose firstDynamic Residential Standard, is like buying an hourly voucher for a buffet first. When the amount of data comes up, then consider the enterprise version of the high-speed channel. Their TK dedicated line is especially suitable for short video data collection, and the measured download speed is 3 times faster than ordinary lines.

Hands On Access Agents

Here's a chestnut in Python, three steps to use an agent:


import requests

proxies = {
    "http": "http://用户名:密码@gateway.ipipgo.com:端口",
    "https": "http://用户名:密码@gateway.ipipgo.com:端口"
}

response = requests.get("destination URL", proxies=proxies)

Be careful to putUser name and passwordReplace it with your own authentication information obtained from the ipipgo backend. Their API supports per-volume billing, which is especially suitable for projects that require intermittent data collection.

A guide to avoiding the pitfalls (a must-see for beginners)

1. Don't be cheap and use free proxies: those public proxy pools have been contaminated for a long time, so be careful of training retarded models!
2. Remember to set the request interval: even with a proxy to simulate the operation of a real person, it is recommended that a random delay of 1-3 seconds
3. Multi-region polling strategy: using ipipgo's 200-country IP database to collect geographic data in a more balanced manner.

Frequently Asked Questions QA

Q: Does a proxy IP slow down training?
A: A good proxy instead of speed! ipipgo's cross-border dedicated line measured latency <200ms, faster than some cloud servers directly connected!

Q: What should I do if my IP is blocked halfway through the collection?
A: Immediately switch the type of agent, their technical customer service 24 hours a day online, will help you customize the wind control bypass program

Q: How do I choose packages for different services?
A: text collection with dynamic version, pictures and videos with enterprise version, long-term monitoring with static IP. uncertainty directly to customer service to test the amount of

Finally, a cold knowledge: the use of ipipgo's SERP interface to collect search data, than self-built crawler program to save 60% time. Especially when training vertical domain models, this feature who uses who knows.

This article was originally published or organized by ipipgo.https://www.ipipgo.com/en-us/ipdaili/42445.html

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