I'm working on a web application that relies on an API key, but I've noticed that the accuracy of raw data is much lower than what I expected. How much effort will it take to reach industry-level accuracies? Are there existing models or frameworks that I can use to help me achieve these results more easily?
2 Answers
For me, it really depends on what you're trying to achieve accuracy for. If it’s NLP or specific data extraction, the raw data might not fit your needs without some serious processing. Alternatively, if you're using a large language model like GPT-4, the raw output may not meet your standards compared to more refined versions. Maybe check if there are any pre-built solutions that can give you that polished output right off the bat?
Getting high accuracy with APIs can indeed be challenging, especially if you're starting from scratch. I've had success using APIs like Plaid for finance and Dialogflow for NLP tasks, but it often involves a lot of tweaking with the data structures and algorithms. If you're looking for a tool to help streamline this, DreamFactory has been great for automating API generation and security, which has helped me improve my accuracy significantly.
Totally agree! If you're aiming for higher accuracy, look into any existing libraries or APIs that are known for delivering quality results. Getting into the nitty-gritty might be the way, but there are often shortcuts available if you do a little digging.