SDS 559: GPT-3 for Natural Language Processing

Natural language processing expert and PhD student Melanie Subbiah sits down with Jon Krohn to discuss GPT-3, its strengths and weaknesses, and the future of NLP. In this episode you will learn: • What is GPT-3? [6:24] • The strengths and weaknesses of GPT-3 [14:38] • What is autoregression? [18:03] • GPT-3's new fine-tuning abilities [20:02] • Bias issues with GPT-3 [22:47] • The future of natural language processing models [27:54] • How Melanie ended up working at OpenAI [38:13] • Melanie’s self-study process [42:19] • Melanie's work on OpenAI API [45:45] • How to address the climate change and bias issues that cloud discussions of large natural language models [49:40] • Why Melanie chose to do a PhD at Columbia University [1:01:17] • The machine learning tools Melanie’s most excited about [1:08:09] Additional materials: www.superdatascience.com/559