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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.\nIn this episode you will learn:\u2022 What is GPT-3? [6:24]\u2022 The strengths and weaknesses of GPT-3 [14:38]\u2022 What is autoregression? [18:03]\u2022 GPT-3's new fine-tuning abilities [20:02]\u2022 Bias issues with GPT-3 [22:47]\u2022 The future of natural language processing models [27:54]\u2022 How Melanie ended up working at OpenAI [38:13]\u2022 Melanie\u2019s self-study process [42:19]\u2022 Melanie's work on OpenAI API [45:45]\u2022 How to address the climate change and bias issues that cloud discussions of large natural language models [49:40]\u2022 Why Melanie chose to do a PhD at Columbia University [1:01:17]\u2022 The machine learning tools Melanie\u2019s most excited about [1:08:09]\nAdditional materials: www.superdatascience.com/559