In this fourth part of our three-part miniseries on Deep and Machine Learning our two heroes shed some

light on a DL architecture called Generative Pre-Trained Transformer (GPT), a pretty sophistic piece

of software that fools most humans when it comes to authoring text (ideal for budding writers with

a block in place). Other topics of discussion includes OpenAI (the company behind this framework),

Elon Musk, Bitcoin, Microsoft and if the GPT can actually pass the Turing test. All will be revealed -

don't miss this episode!

Links:

OpenAI: https://openai.com

GPT: https://openai.com/projects

The Turing Test: https://en.wikipedia.org/wiki/Turing_test

GPT-2 source code: https://github.com/openai/gpt-2

GPT meta-progamming: https://www.lesswrong.com/posts/zZLe74DvypRAf7DEQ/meta-programming-gpt-a-route-to-superintelligence

GPT-3 interview: https://www.youtube.com/watch?v=PqbB07n_uQ4

DSDS: https://en.wikipedia.org/wiki/Deutschland_sucht_den_Superstar

GPT-3 sample 1: https://linuxinlaws.eu/files/padawans.txt

GPT-3 sample 2: https://linuxinlaws.eu/files/HGttG.txt