Knowledge Circuits in Pretrained Transformers Explained

Explore the intricacies of knowledge circuits in pretrained transformers during this one-hour conference talk by Yunzhi Yao from Zhejiang University China. Delve into the computation graph of language models to uncover the instrumental knowledge circuits responsible for articulating specific knowledge. Gain insights from the paper "Knowledge Circuits in Pretrained Transformers," co-authored by Yao, which examines the inner workings of these advanced AI models. Learn about the research methodologies and findings that shed light on how transformers process and utilize information. Discover the implications of this research for the field of artificial intelligence and natural language processing. Enhance your understanding of AI research and industry trends by exploring additional resources such as The Deep Dive newsletter and Unify's blog posts on AI deployment. Connect with the AI community through various platforms to stay updated on the latest developments in machine learning and deep learning.

Knowledge Circuits in Pretrained Transformers Explained