It’s hard to miss the buzz around OpenAI’s latest creation, ChatGPT.

This recent emerging variant of GPT-3, called ChatGPT, is notable for many reasons. Foremost, it’s an impressive ability to summarize broad knowledge bases and answer questions about practically anything. ChatGPT is truly “bleeding edge” tech due to its impressive abilities and its handful of controversies.

Plagiarism: Is ChatGPT a ‘virus that has been released into the wild’? | TechCrunch

Malware: ChatGPT malware: Will OpenAI’s latest creation help hackers? (techmonitor.ai)

Bias: ChatGPT, Open AI’s Chatbot, Is Spitting Out Biased, Sexist Results – Bloomberg

ChatGPT is a deep learning model that produces human-like text. This past spring, The Reveal Group Innovation Team saw an opportunity to use GPT-3 to overcome a common roadblock to starting Natural Language Processing (NLP) engagements. In our latest Tech Talk, Josh Noble and Aubrey Moore disclose how we use GPT-3 to expedite NLP with AI-generated sample communications.

(1:20) GPT-3 Technology proofs

(2:28) GPT-3 Demo: Edits endpoint

(4:52) Python & APIs for large volume

(5:38) Limits of GPT-3 for NLP samples

GPT-3 is a great tool for sample communication used in our NLP Proof of Concepts (PoC). For a PoC tailored to your organization’s automation needs contact our team.