Research Directions in AI
Excitement surrounds the development of powerful models like GPT-3, but a deeper focus on understanding their limitations and societal impacts is crucial. Emily emphasizes the need for rigorous testing and documentation akin to other engineering fields, advocating for a shift away from hype towards responsible AI development. Additionally, she warns that the relentless pursuit of larger models may marginalize smaller language communities and stifle innovation across the research landscape.In this clip
From this podcast
Gradient Dissent - A Machine Learning Podcast
Emily M. Bender — Language Models and Linguistics
Related Questions