Language Model Insights
Melanie explains how autoregressive models like GPT-3 generate text based on prior inputs, while bidirectional models like BERT capture context from both directions. She highlights the potential for fine-tuning GPT-3 to enhance performance and reduce biases, discusses the environmental impact of large models, and suggests that returning to academia may offer valuable exploration opportunities in data science.In this clip
From this podcast
Super Data Science: ML & AI Podcast with Jon Krohn
SDS 559: GPT-3 for Natural Language Processing — with Melanie Subbiah
Related Questions