At our "How to efficiently read research AI papers" event with Arize AI, we covered many subjects, including three main strategies for engaging with AI research: 🔍 Breakthrough Papers: Seek out groundbreaking papers for innovative ideas. 📚 Survey Papers: Use these for a comprehensive overview of a topic and trends. 🔧 Benchmarking and Datasets Papers: Look for practical tools to assess model performance. Check out the full event recording for more insights: https://hubs.la/Q02r1MWV0 | DeepLear

To be clear I’m not saying don’t read research. I do. But one thing that allopathic has wrong is only focusing on what “research” says instead of understanding that there’s more to it. This is where people get lost in the system. I’ve seen people go round and round about “studies” and completely dismiss what the real problem was/is. Research / studies have their place. But so does anecdotal evidence. Once you practice in the field, review lab work, and help 100s of people, you understand that it