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
