A few years ago, training AI models required massive amounts of labeled data. Manually collecting and labeling this data was both time-consuming and expensive. But thankfully, we’ve come a long way since then, and now we have much more powerful tools and techniques to help us automate this labeling process. One of the most effective ways? Active Learning.
In this article, we’ll walk through the concept of active learning, how it works, and share a step-by-step implementation of how to automate dataset labeling for a text classification task using this method.
A few years ago, training AI models required massive amounts of labeled data. Manually collecting and labeling this data was both time-consuming and expensive. But thankfully, we’ve come a long way since then, and now we have much more powerful tools and techniques to help us automate this labeling process. One of the most effective ways? Active Learning.
In this article, we’ll walk through the concept of active learning, how it works, and share a step-by-step implementation of how to automate dataset labeling for a text classification task using this method.
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Look for Channels Online
You guessed it – the internet is your friend. A good place to start looking for Telegram channels is Reddit. This is one of the biggest sites on the internet, with millions of communities, including those from Telegram.Then, you can search one of the many dedicated websites for Telegram channel searching. One of them is telegram-group.com. This website has many categories and a really simple user interface. Another great site is telegram channels.me. It has even more channels than the previous one, and an even better user experience.These are just some of the many available websites. You can look them up online if you’re not satisfied with these two. All of these sites list only public channels. If you want to join a private channel, you’ll have to ask one of its members to invite you.
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