GPT-3 is a powerful natural language processing tool that has been making waves throughout the internet. While it’s easy to get started with, as you explore GPT-3 deeper, common questions begin to arise. One is if GPT-3 is deterministic or…
GPT-3 is the clear winner regarding the language side of AI models. Even though it’s a paid model, the relatively small cost is worth the huge improvements you get when using GPT-3 compared to Bloom. In this blog post, we’ll…
OpenAI’s GPT-3 has taken the world of text generation by storm in recent years and has quickly become a great tool for automating text production, but a common question we hear at EML is: Does it plagiarize? While GPT-3 generally…
We’ve all been there, cleaned up our dataset, and realized it’s incredibly noisy. Should you get rid of the noise? Why is it even there? And what even is noise? In this blog post, we’ll look at what noise is,…
In machine learning, there are two types: those who like to keep things short and sweet and those who want to explain everything in detail. I fall into the latter category – I love verbosity. Some might call it overkill,…
In natural language processing, understanding the meaning (semantics) of a corpus (text) is essential. But how can computers derive meaning from text if computers can’t read? How can they find sentences with similar similarity metrics if they, again, can’t read?…
As data scientists, we’re interested in solving future problems. We do this by finding patterns and trends in data, then applying these insights in real-time. Bayes theorem (the backbone of Bayes Classification) is built upon class-level prior probability, and this…
Topic modeling is a dense but gratifying subject. Knowing how to put your text into specific topics is crucial to understanding the different genres within your text. Utilizing topic modeling also allows you to quickly ingest ideas from your text…