Explore the intricacies of GPT-2's brain development in this 27-minute Wolfram Student Podcast episode featuring Shriya Ramanan's project. Delve into the effects of zero-ing out specific tokens, manipulating change nodes and their weights, and adjusting temperature parameters to gain a deeper understanding of the GPT-2 model's structure. Learn about generating tokens, examining nodes, and drawing parallels with the human brain. This informative discussion covers various aspects of AI and machine learning, providing insights into the inner workings of language models through the lens of computational analysis.
Overview
Syllabus
Intro
Project Summary
Generating Tokens
Nodes
Zeroing out weights
The human brain
Temperature parameters
Conclusion
Taught by
Wolfram
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