90% of Machine Learning Experts Use This One Trick to Stay Updated

Staying current with machine learning advancements is a challenge due to the sheer volume of research. A common strategy among experts is to focus on papers that gain traction on platforms like Twitter and machine learning subreddits. This approach, endorsed by figures like Andrew Ng, ensures some coverage of new developments, even if not exhaustive. The rationale is that for new techniques to be adopted, they must first gain popularity. For instance, while there might be innovative but obscure architectures, the widely used transformer architecture benefits from extensive documentation and empirical support, making it a practical choice over less-known alternatives. This method acknowledges the trade-off between comprehensive knowledge and practical application in the fast-evolving field of machine learning.

Source: www.reddit.com