GPT Helped Me Write a Program to Summarize CJEU Cases
This post explores a little experiment I ran in February using OpenAI's GPT3, Google Collab, Python and this interesting hack to summarize CJEU cases. I originally posted this on LI in February and forgot to post it here, with new updates on v3 of the sam
This post originally appeared on knowligence.info and it explores a little experiment using OpenAI's GPT3, Google Collab, Python and this interesting hack to summarize CJEU cases. And it wasn't a total failure! I originally posted this on LI in February and forgot to post it here. It's also got new and improved updates. If you want to just look at the newest shiniest version of the code, you can go here: https://codeberg.org/privacat/GPT3CaseParser/src/branch/main/caseparserv3.py)
The Problem: I Am Lazy, and CJEU Cases are Dense
Everyone is buzzing over Large Language Models (LLMs), and rightly so. (Well, not everyone - my boss Daragh O Brien argues that ChatGPT may well lead to the Enshittening of Knowledge).
In my opinion, one major benefit LLMs could provide us as over-taxed and exhausted humans is the ability to summarize cases, statutes, contracts, etc., both for atto…
Keep reading with a 7-day free trial
Subscribe to Privacat Insights to keep reading this post and get 7 days of free access to the full post archives.