Fine-tuning the Large Language Model: LLM Fine-Tuning Data Agents

When Language Modeling Meets Data Acquisition Challenges

Old Zhang, who is engaged in machine learning, recently had a headache when the customer service dialog model he had been coaching for half a year suddenly started to talk nonsense. The investigation found that the original training data mixed into a large number of network spam content - this is similar to going to the market to buy food, if you accidentally buy rotten leaves, the whole pot of soup will be skewered. This is the time toProfessional data cleanersThe most useful tool is the proxy IP.

Proxy IP three real-world good use

Don't underestimate this string of numbers, it is the data engineer's "invisible cloak":

Take our ipipgo's user case as an example, there is a team doing intelligent customer service, using static IP to collect data always receive fake customer service dialog (that is, the traps set by the website anti-crawler). After switching to our dynamic residential agent, the proportion of real dialog data collected directly soared from 47% to 89%.

Hands-on configuration of the proxy environment

Here's a Python example (don't worry about not being able to read it, just change the parameters accordingly):

import requests

proxies = {
    'http': 'http://username:password@gateway.ipipgo.com:9020',
    'https': 'http://username:password@gateway.ipipgo.com:9020'
}

response = requests.get('destination URL', proxies=proxies, timeout=10)
print(response.text)

Note that you have to replace username and password with your own authentication information obtained from the ipipgo console. It is recommended to match theIP Auto Change ModuleThe IP address is set to be changed every 5 minutes, so that it is stable and not easy to trigger the wind control.

A guide to avoiding the pit: common minefields for newbies

1. Don't be greedy, you'll suffer big losses.A user bought a low-priced proxy package, and as a result, the IPs of 30% are blacklisted, leading to a large number of verification pages mixed into the collected data.

2. one-track acquisitionA team used a fixed IP to capture an e-commerce site, and in less than 2 hours the entire IP segment was blocked, and only solved it after changing to ipipgo's intelligent rotation strategy.

3. Ignoring protocol matching: Some websites have strict HTTP/Socks5 protocol detection, remember to select the right protocol type in the ipipgo console!

question-and-answer session

Q: Why does my proxy slow down when I use it?
A: It may be IP quality fluctuation, it is recommended to turn on the ipipgo backgroundAutomatic Speed Measurementfunction, the system will automatically switch nodes with latency below 200ms

Q: What if I need to collect data on the characteristics of different regions?
A: Add the location_code field in the API parameter of ipipgo, for example, fill in "Shanghai" if you want Shanghai IP, and the system will assign the export node of the corresponding region.

Q：It is troublesome to manually change IP every time you collect
A: Try our intelligent routing mode, set up the replacement strategy (automatic switching according to the number of times/time/anomalies) after the full automatic operation, 3:00 a.m. can also be a stable collection of

Finally, to give a true statement: the quality of the data determines the upper limit of the model, the proxy IP is not well chosen, and then the good algorithm is useless. The old bird who has used five service providers said that ipipgo'sCommercial-level agent poolIt is indeed more stable than the regular package, especially if you are doing long-term data projects, it is recommended to go straight to the annual package.