ChainGPT is designed to provide users with up-to-date and accurate information about the latest trends and developments in the sector. The service uses advanced algorithms and machine learning techniques to analyze vast amounts of data from various sources, including social media, news sites, and other online platforms. It then generates high-quality news articles that are tailored to the user's specific interests... Source: over 3 years ago

Visit https://chaingpt.org for more info. Source: over 3 years ago

ChainGPT makes on-chain data analysis simpler than ever. Their advanced AI model can help with risk management, data analysis, ID verification, avoiding bad actors, and analyzing users' on-chain history. To learn more about ChainGPT and its groundbreaking AI technology, visit their website at https://chaingpt.org/ and check out their Twitter page at https://twitter.com/Chain_GPT. Source: over 3 years ago

Here is one library that will be used for the training https://fasttext.cc/ this allows for the consensus across multiple languages so that we can define our mystery word correctly. Source: almost 5 years ago

(response to edit) > The classification problem is interesting though. I ended up with a long list of hundreds of topics. Most articles fall in two or more. There's also a sub-problem of clustering news by subject. Yeah, certainly difficult. I'm doing it partially manually right now but also with fastText[1]. I'd like to switch completely to fastText soon though since more often than not the newsletters I add... - Source: Hacker News / about 5 years ago

I'm planning to build a business on this, so probably won't open-source it--but I'm always looking for interesting things to write about! I write a weekly newsletter called Future of Discovery[1]; I might write up some more implementation details there in a week or two. In the mean time, most of the heavy lifting is done by the Surprise python lib[2]. It's pretty easy to play around with, just give it a csv of... - Source: Hacker News / about 5 years ago

FastText is a Facebook tool that, among other things, is used to train text classification models. Unlike Tensorflow.js, it is more intended to work with text so we don't need to pass a tensor and we can use the text directly. Training a model with it is much faster and there are fewer hyperparameters. Besides, to use the model from the browser is possible through WebAssembly. So it's a good alternative to try.... - Source: dev.to / over 5 years ago