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When AI training meets data challenges, how can proxy IPs help?

Those of you who work on AI model training know that theData quality directly determines model IQThe most important thing is that the model is not a model of the user, but a model of the user. Recently, a team doing intelligent customer service found me complaining that they spent a lot of money to label the conversation data, and the trained model always treats the user as a fool - asking the weather to reply to the recipe, and consulting the return to teach people to stir-fry. Only later did they realize that the problem lies in the data collection link with a single region of the network data.

Invisible Armor for Real Data Acquisition

Many newbies overlook this detail:Catching data in bulk with a fixed IP is like walking a tightrope in a glow-in-the-dark suit.. Last year, a team doing e-commerce review analysis had 20 accounts blocked for three consecutive days, and finally found out that the data collection IPs were flagged by the platform. At this time we need dynamic proxy services like ipipgo, their residential proxy IP library can make data collection behavior look like real users surfing the Internet in different regions.

A siren's mirror of labeled data

Have you ever encountered the bad thing of remote work of the annotation team? An AI company once found that the annotator used virtual machine batch fake, annotation speed is 3 times faster than the real person, but the accuracy rate is less than 40%. this situation with ipipgo's proxy IP management will be very good--!Verify the real location of the labeler by IP address.In addition, it can monitor the differences in labeling quality in different regions in real time. For example, if it is found that the labeling speed of a node in Henan is abnormal, it can directly call the local backup IP to re-verify the data quality.

Practical QA: the pitfalls you may encounter

Q: Will the proxy IP affect the data collection speed?
A: It depends on the quality of the service provider. Like ipipgo's exclusive bandwidth line, the measured download speed can reach 15MB/s, which is faster than some public wifi. The key isTo select a service that supports the socket5 protocolDon't use those old HTTP proxies.

Q: How can I tell if the data labeling is watered down?
A: I'll teach you a wild card - use a proxy IP to log in to the background of the labeling platform.Compare operation logs of different IP segments. Normal labeling will have intervals of pause, and fake data often show mechanical regularity. The last time I helped a client find out a labeling team, all of their operations came from three neighboring IPs, which turned out to be scripted mass production.

Why ipipgo?

This business is too deep, a lot of agent service providers to playThe "IP Drift" TrickThe number of IP pools claimed to be one million is actually just a few servers repeatedly changing their skins. Our team has tested seven service providers, ipipgo has three points can really hit:

1. be in favor ofIP attribution down to the municipal levelIt's great for dialect recognition projects.
2. A single account canRunning 50 threads at the same timeno lag
3. Problems Customer ServiceResponse within 10 minutesIt's faster than ordering takeout.

Recently, they had aEnterprise Customized PackagesIf you are doing a long-term data project, you can pay attention to it. In particular, the need for multi-region collaborative labeling team, with their city-level IP allocation function, can be labeled error rate to 2% below. Last time, there is a company doing automatic driving vision training, is to rely on this function to find that the Shenzhen region's annotators always identify the brake lights as tail lights.

Tell the truth.

Don't believe the wizards who say that proxy IP is a panacea, it's like salt for stir-frying-If you use it right, you'll get freshness, but if you use it too much, you'll snore.. It is recommended that the team just started to do data projects, first use ipipgo pay-per-use package to test the water. Encountered a customer, up to buy 100,000 IP package, the results of the project yellow IP are not used up, and finally can only sublet to peers.

At the end of the day, this whole AI data thing.You need to be both skilled and wild... Agent IP is not the main character, but it does play a key supporting role in the success or failure of many projects. It's like making fish-flavored shredded pork can be done without fish, but not without that spoonful of bean sauce. Choosing a reliable service provider can save you at least three years of data collection.